Python Developer Jobs in Qatar

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>About The Role<br><br>You'll design coding tasks that challenge frontier AI coding agents. Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome. Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br><br>Responsibilities:<br><br>Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem Build a reproducible Docker environment with pinned dependencies Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix Write an instruction.md that reads like a Jira ticket a developer would receive Write a reference solve.sh proving the task is solvable Calibrate difficulty so current state-of-the-art agents solve the task 20-60% of the time Iterate based on feedback from expert QA reviewers Later: review other authors' tasks as a QA reviewer<br><br>Not in scope<br><br>Data labeling, prompt engineering Production code to ship — you design problems and verification for AI agents Leetcode puzzles — scenarios must look like real developer work Not every candidate task ships — quality over quantity<br><br>Requirements<br><br>3+ years of production software development in one backend stack — Python, Go, Node.js, Java, or Rust. Depth in one stack beats breadth Python + pytest fluency — required regardless of primary stack. The task harness is pytest-based even when the broken app is in another language. Fixtures, parametrize, monkeypatch, timeouts, conftest.py Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user Linux & Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work. You can cite a specific time the AI was confidently wrong and how you caught it English — B2+ written<br><br>Not a fit<br><br>Data Science, ML, or Computer Vision engineers without backend-engineering output Manual QA testers without automation or test authoring Frontend-only, low-code / no-code, IT Support, or Business Analysts Engineers who have never written pytest from scratch Junior, intern, or assistant as the most recent role<br><br>Preferred Qualifications<br><br>Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (Num Py / PyTorch / Sci Py), Dev Ops, or Git internals Modern Python tooling (uv, poetry, pyproject.toml) Coverage tooling (pytest-cov, coverage.py, gcov, llvm-cov, kcov) Fuzzing or property-based testing (Hypothesis) Prior contribution to agent-evaluation benchmarks or related frameworks<br><br>Process<br><br>Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br><br>Time commitment<br><br>Onboarding: :10 hours per first task Steady state: :5 hours per task, 2-4 parallel tasks per author Realistic weekly load: 8-20 hours. Higher volume available for top performers You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria<br><br>Compensation:<br><br>Paid contributions, rates up to $35/hour*Task-based compensation equivalent to hourly rate, depending on performance and volume Some projects include incentive payments Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be provided to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project<br><br>Apply<br><br>Submit your CV via the Mindrift platform. Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a Git Hub profile link if available.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job ITSM Consultant <p>We are seeking an experienced ITSM Consultant (sMax) for an exciting onsite opportunity in Qatar.<br> Location: Qatar<br> Contract Duration: 1 Year(Extendable depens on the project and performance)<br>Key Skills &amp; Expertise:<br> Service Management Automation X (sMax)<br> UCMDB &amp; CMDB Administration<br> ITIL Framework<br> OpenText / Micro Focus OpsBridge<br> REST/SOAP APIs, XML &amp; JSON<br> Linux (RHEL) &amp; Windows Administration<br> Python, JavaScript, Shell or PowerShell Scripting<br> PostgreSQL &amp; Kubernetes<br> SSL, SSO &amp; High Availability Configuration<br> Solution Design, Testing &amp; Technical Documentation<br>Qualifications:<br> Bachelor's Degree in Computer Science or related field<br> ITIL Foundation Certification preferred<br> Programming certification is an advantage<br></p><br> <br> <br> </div>

Job Summary<br>The Applications Specialist – Systems Operations plays a key role in supporting Mowasalat’s vision of delivering agile, safe, and sustainable transport solutions by ensuring the stability, availability, and performance of enterprise applications. The role is responsible for supporting day‑to‑day application operations, resolving incidents, monitoring system performance, and coordinating with business users, IT teams, and external vendors. It contributes to continuous improvement initiatives, system integration, and efficient service delivery while ensuring compliance with operational standards and maintaining high levels of system reliability and data confidentiality.<br>Key Responsibilities:<br>Application Support & Maintenance Provide technical support for enterprise applications, resolving issues and ensuring system reliability, scalability, and performance. Maintain accurate and up-to-date application documentation, including user manuals and technical specifications. <br>Application Development & Testing Assist in designing, developing, testing, and implementing software solutions aligned with business requirements. Collaborate with stakeholders to gather requirements and develop test cases to ensure solution effectiveness. <br>Business Analysis & Requirements Gathering Engage stakeholders to elicit, analyze, and document business and system requirements. Develop business cases, proposals, and technical documentation to support system enhancements and implementations. <br>System Integration & Configuration Integrate applications with existing systems to ensure seamless data exchange and compatibility. Configure applications to meet business needs and optimize performance and user experience. <br>User Training & Documentation Develop and deliver training programs to enhance user adoption and effective utilization of systems. Maintain user documentation such as guides, manuals, and FAQs. <br>Governance, Monitoring & Continuous Improvement Monitor system performance and support incident resolution and operational improvements. Ensure compliance with operational processes, standards, and data confidentiality requirements. <br><br>Qualifications & Requirements:<br>Education Bachelor’s degree in Computer Science, Information Technology, or a related field. <br>Experience4–6 years of experience in enterprise application support or systems operations. <br>Certifications & Training (Preferred) Certified Associate in Software Engineering (CASE) or equivalent Programming certifications (e.g., Java, Python) Agile certification (e.g., Scrum Master) <br>Skills & Competencies Enterprise application support and systems operations Programming languages (e.g., Java, Python) Software development methodologies (Agile, Waterfall) System integration and configuration Data analysis and visualization Strong analytical thinking, problem-solving, and attention to detail Effective communication, stakeholder management, and collaboration skills

About Commercial Bank<br><br>Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services. We believe in empowering our employees, providing them with opportunities for growth and professional development.<br><br>By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.<br><br>Join us in shaping the future of banking!<br><br>Job Summary<br><br>Build and maintain strong risk review process with insightful, reliable and consistent information to support fact-based decisions. Strong analytical mindset with good understanding of regulations relating to Capital Adequacy, Liquidity, Pillar 2 etc. Well versed with handling large volumes of data and has the ability to code in either Python and R to develop tools as small work related enhancements<br><br>Key Responsibilities <br><br> Develop and maintain comprehensive risk database covering all on and off-balance sheet transactions on a bank-wide basis Analyse the Bank's credit portfolio and providing monthly and quarterly risk performance, portfolio diversification reports of bank's lending portfolios Researching and introducing reports with a sector or unit specific focus Identify Key Portfolio Cuts & Indicators, materially improve quality & timeliness of production & analysis. Review accounts by analysing past due reports, and assess performance of NPL accounts Tracking and monitoring of key parameters for the Risk Appetite Framework Meet the regulatory deadlines with timely preparation of ICAAP/ Capital Plan and Recovery Plan Carry out Stress testing of the portfolios, and analysing key exposures Expected credit loss - Management of the Bank's ECL model to meet QCB requirements (including reporting) Responding to requests for data and information from internal and external clients Collation, production and analysis of all portfolio management reports. Involvement in data collection and post review of data collection methodologies and use of tools such as Python and R to facilitate work related enhancements. Prepare accurate information for Business, External/ Internal auditors, Compliance function Familiarity with regulations especially regulatory capital, Basel IV, liquidity and stress testing Capability to develop models for PD, LGD, CCF and macro-economic model validation <br><br>Key Competencies<br><br> Strong analytics and quantitative background Strong understanding of Portfolio management and policies Hands on knowledge of MS Office, strong in programming languages (SQL, Python) Knowledge of modelling could be an added advantage <br><br>Qualifications & Experience<br><br> Required Qualifications: <br><br>Bachelor's / Masters degree in business or related field<br><br>Required Experience<br><br>5 - 10 years of relevant experience in Risk Management with comprehensive understanding of a bank’s balance sheets and products<br><br>Why Commercial Bank<br><br> Best Performing Bank in Qatar in The Banker’s prestigious Top 1000 World Banks Rankings 2025. Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance. An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives. A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual’s unique perspective <br><br>At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.<br><br>Disclaimer<br><br>We appreciate your interest in joining CB! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CB reserves the right to modify, withdraw, or close it at any time without notice.

Functional Responsibilities:Data Ingestion and Normalization Pipeline Management: Architect and maintain the ingestion of telemetry from multi-cloud (GCP, AWS, Azure) and on-premises environments using Bind Plane Forwarders, Cloud-to-Cloud (C2C) connectors, and Webhooks. Parser Development: Design, build, and troubleshoot custom parsers (CBN) to ensure non-standard log sources are correctly normalized into the Unified Data Model (UDM). Data Health Monitoring: Build dashboards to monitor ingestion rates, latency, and data drops to ensure the SIEM is always receiving high-quality, actionable data.<br>SOAR & Automation Engineering Playbook Development: Design and code automated incident response playbooks in Sentinel SOAR using Python and visual builders. Connector Engineering: Build and maintain API integrations between Sentinel SOAR and third-party tools (Firewalls, EDR, IAM, Ticketing systems). Workflow Optimization: Automate repetitive manual tasks such as artifact enrichment, evidence gathering, and initial containment actions. Case Management Configuration: Tailoring the SOAR environment to fit the SOC’s operational needs, including custom fields, stages, and SLA tracking.<br>Platform Administration and Optimization System Health Monitoring: Monitoring the ingestion health to ensure no data is dropped and that latency stays within acceptable limits. Access Control: Managing Role-Based Access Control (RBAC) to ensure analysts have the correct level of access to sensitive data. Threat Intel Ingestion: Managing the integration of Mandiant, Virus Total, and other third-party threat intelligence feeds to ensure detections are always up to date with the latest global threats.<br>Collaboration with SOC Team Feedback Loops: Collaborating with Tier 1 and Tier 2 analysts to tune YARA-L rules based on real-world alert performance and "noise" levels. Requirements Gathering: Interviewing incident responders to understand their manual workflows, then translating those into Sentinel SOAR playbooks. Training & Enablement: Conducting knowledge transfer sessions on how to use UDM Search and the MS Sentinel interface to speed up investigations. Alignment with Infrastructure Team Data Ingestion Strategy: Working with GCP/AWS/Azure Architects to ensure that Cloud Logging and Pub/Sub are configured correctly for seamless export to Google Sec Ops platform. Agent Deployment: Coordinating with IT Infrastructure teams to deploy and maintain Bind Plane Forwarders on on-premises servers and virtual machines. Troubleshooting: Collaborating with Network Engineers to resolve connectivity issues or firewall blocks that prevent telemetry from reaching the Google Sec Ops platform. Knowledge, Skills & Experience Academic & Professional Qualifications:Bachelor’s degree in computer science, IT, Cybersecurity, or equivalent. SIEM Certification ( Azure Sentinel). Preferred:Security certifications such as Security+, CySA+, CEH, CISSP, GCIHSentinel Engineer<br>Experience:3–5 years of hands-on experience in Security Engineering, SOC Automation, Dev Ops Engineer, Security Operations, or Infrastructure Security. Skills and Requirements:Technical Skills (Must Have) SIEM/SOAR Mastery: Proven experience architecting and managing enterprise-grade platforms (e.g., Splunk, Azure Sentinel, or QRadar), with at least 1–2 years specifically focused on Google Sec Ops (Chronicle). Key Requirement: Required skills: Google Sec Ops. Coding & Scripting: Professional experience using Python to automate security workflows or build custom API connectors. Cloud Infrastructure: Hands-on experience managing security within Google Cloud Platform (GCP), including VPC service controls, IAM, and Cloud Logging. Languages: Python (Advanced), SQL (Big Query), YARA/YARA-L, and Bash. Frameworks: MITRE ATT&CK, NIST Cybersecurity Framework. Tools: Git (Version Control), Terraform (Infrastructure as Code), Docker/Kubernetes (Containerization). Data Standards: Deep knowledge of JSON, Protobuf, and Regex for log parsing and normalization. Soft Skills Strong analytical thinking and problem-solving capability. Excellent communication skills, able to explain technical findings to non-technical stakeholders. Ability to work independently, manage multiple priorities, and meet deadlines. Attention to detail and a structured, documentation-driven mindset.

Functional Responsibilities:Data Ingestion and Normalization Pipeline Management: Architect and maintain the ingestion of telemetry from multi-cloud (GCP, AWS, Azure) and on-premises environments using Bind Plane Forwarders, Cloud-to-Cloud (C2C) connectors, and Webhooks. Parser Development: Design, build, and troubleshoot custom parsers (CBN) to ensure non-standard log sources are correctly normalized into the Unified Data Model (UDM). Data Health Monitoring: Build dashboards to monitor ingestion rates, latency, and data drops to ensure the SIEM is always receiving high-quality, actionable data. SOAR & Automation Engineering Playbook Development: Design and code automated incident response playbooks in Google SOAR using Python and visual builders. Connector Engineering: Build and maintain API integrations between Google SOAR and third-party tools (Firewalls, EDR, IAM, Ticketing systems). Workflow Optimization: Automate repetitive manual tasks such as artifact enrichment, evidence gathering, and initial containment actions. Case Management Configuration: Tailoring the SOAR environment to fit the SOC’s operational needs, including custom fields, stages, and SLA tracking. Platform Administration and Optimization System Health Monitoring: Monitoring the ingestion health to ensure no data is dropped and that latency stays within acceptable limits. Access Control: Managing Role-Based Access Control (RBAC) to ensure analysts have the correct level of access to sensitive data. Threat Intel Ingestion: Managing the integration of Mandiant, Virus Total, and other third-party threat intelligence feeds to ensure detections are always up to date with the latest global threats. Collaboration with SOC Team Feedback Loops: Collaborating with Tier 1 and Tier 2 analysts to tune YARA-L rules based on real-world alert performance and "noise" levels. Requirements Gathering: Interviewing incident responders to understand their manual workflows, then translating those into Google SOAR playbooks. Training & Enablement: Conducting knowledge transfer sessions on how to use UDM Search and the Google Sec Ops interface to speed up investigations. Alignment with Infrastructure Team Data Ingestion Strategy: Working with GCP/AWS/Azure Architects to ensure that Cloud Logging and Pub/Sub are configured correctly for seamless export to Google Sec Ops platform. Agent Deployment: Coordinating with IT Infrastructure teams to deploy and maintain Bind Plane Forwarders on on-premises servers and virtual machines. Troubleshooting: Collaborating with Network Engineers to resolve connectivity issues or firewall blocks that prevent telemetry from reaching the Google Sec Ops platform. Knowledge, Skills & Experience Academic & Professional Qualifications:Bachelor’s degree in computer science, IT, Cybersecurity, or equivalent. SIEM Certification ( Google Sec Ops, Splunk, Azure Sentinel). Preferred:Security certifications such as Security+, CySA+, CEH, CISSP, GCIH Google Sec Ops Engineer Experience:3–5 years of hands-on experience in Security Engineering, SOC Automation, Dev Ops Engineer, Security Operations, or Infrastructure Security. Skills and Requirements:Technical Skills (Must Have) SIEM/SOAR Mastery: Proven experience architecting and managing enterprise-grade platforms (e.g., Splunk, Azure Sentinel, or QRadar), with at least 1–2 years specifically focused on Google Sec Ops (Chronicle). Key Requirement: Required skills: Google Sec Ops. Coding & Scripting: Professional experience using Python to automate security workflows or build custom API connectors. Cloud Infrastructure: Hands-on experience managing security within Google Cloud Platform (GCP), including VPC service controls, IAM, and Cloud Logging. Languages: Python (Advanced), SQL (Big Query), YARA/YARA-L, and Bash. Frameworks: MITRE ATT&CK, NIST Cybersecurity Framework. Tools: Git (Version Control), Terraform (Infrastructure as Code), Docker/Kubernetes (Containerization). Data Standards: Deep knowledge of JSON, Protobuf, and Regex for log parsing and normalization. Soft Skills Strong analytical thinking and problem-solving capability. Excellent communication skills, able to explain technical findings to non-technical stakeholders. Ability to work independently, manage multiple priorities, and meet deadlines. Attention to detail and a structured, documentation-driven mindset.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a motivated Graduate Research Assistant to join a research project focused on indoor navigation for individuals with visual impairments. The successful candidate will contribute to the development of privacy-preserving indoor localization methods using multi-modal deep learning, the design of wearable multi-sensor navigation devices, and the creation of datasets for indoor trajectory prediction. Responsibilities include data collection, analysis, and reporting, as well as collaboration with researchers and project partners.</p><p>At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it s about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today!</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Applicants should hold a bachelor s degree in Computer Science, Electrical Engineering, or a related field, with strong programming skills in Python and/or C/C++.</li><li>Familiarity with PyTorch, Linux, and sensor-based data collection is required.</li><li>Experience in robotics, indoor localization, assistive technologies, embedded systems, hardware prototyping, or research writing is desirable.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p>The primary responsibilities of the Security Infrastructure Engineer Sentinel:</p><p>Functional <b>Responsibilities</b>:</p><p>Data Ingestion and Normalization Pipeline Management: Architect and maintain the ingestion of telemetry from multi-cloud (GCP, AWS, Azure) and on-premises environments using Bind Plane Forwarders, Cloud-to-Cloud (C2C) connectors, and Webhooks.</p><p>Parser Development: Design, build, and troubleshoot custom parsers (CBN) to ensure non-standard log sources are correctly normalized into the Unified Data Model (UDM).</p><p>Data Health Monitoring: Build dashboards to monitor ingestion rates, latency, and data drops to ensure the SIEM is always receiving high-quality, actionable data.</p><p>SOAR &amp; Automation Engineering</p><p>Playbook Development: Design and code automated incident response playbooks in Sentinel SOAR using Python and visual builders.</p><p>Connector Engineering: Build and maintain API integrations between Sentinel SOAR and third-party tools (Firewalls, EDR, IAM, Ticketing systems).</p><p>Workflow Optimization: Automate repetitive manual tasks such as artifact enrichment, evidence gathering, and initial containment actions.</p><p>Case Management Configuration: Tailoring the SOAR environment to fit the SOC s operational needs, including custom fields, stages, and SLA tracking.</p><p>Platform Administration and Optimization</p><p>System Health Monitoring: Monitoring the ingestion health to ensure no data is dropped and that latency stays within acceptable limits.</p><p>Access Control: Managing Role-Based Access Control (RBAC) to ensure analysts have the correct level of access to sensitive data.</p><p>Threat Intel Ingestion: Managing the integration of Mandiant, Virus Total, and other third-party threat intelligence feeds to ensure detections are always up to date with the latest global threats.</p><p>Collaboration with SOC Team</p><p>Feedback Loops: Collaborating with Tier 1 and Tier 2 analysts to tune YARA-L rules based on real-world alert performance and noise levels.</p><p>Requirements Gathering: Interviewing incident responders to understand their manual workflows, then translating those into Sentinel SOAR playbooks.</p><p>Training &amp; Enablement: Conducting knowledge transfer sessions on how to use UDM Search and the MS Sentinel interface to speed up investigations.</p><p>Alignment with Infrastructure Team</p><p>Data Ingestion Strategy: Working with GCP/AWS/Azure Architects to ensure that Cloud Logging and Pub/Sub are configured correctly for seamless export to Google SecOps platform.</p><p>Agent Deployment: Coordinating with IT Infrastructure teams to deploy and maintain Bind Plane Forwarders on on-premises servers and virtual machines.</p><p>Troubleshooting: Collaborating with Network Engineers to resolve connectivity issues or firewall blocks that prevent telemetry from reaching the Google SecOps platform.</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Academic &amp; Professional Qualifications:</strong></p><p>Bachelor s degree in computer science, IT, Cybersecurity, or equivalent.</p><p>SIEM Certification (Azure Sentinel).</p><p><strong>Preferred:</strong> Security certifications such as Security+, CySA+, CEH, CISSP, GCIH</p><p><strong>Sentinel Engineer Experience:</strong></p><p>3 5 years of hands-on experience in Security Engineering, SOC Automation, DevOps Engineer, Security Operations, or Infrastructure Security.</p><p><strong>Skills and Requirements:</strong></p><p>SIEM/SOAR Mastery: Proven experience architecting and managing enterprise-grade platforms (e.g., Splunk, Azure Sentinel, or QRadar), with at least 1 2 years specifically focused on Google SecOps (Chronicle).</p><p><strong>Key Requirement:</strong> Required skills: Google SecOps.</p><p>Coding &amp; Scripting: Professional experience using Python to automate security workflows or build custom API connectors.</p><p>Cloud Infrastructure: Hands-on experience managing security within Google Cloud Platform (GCP), including VPC service controls, IAM, and Cloud Logging.</p><p>Languages: Python (Advanced), SQL (BigQuery), YARA/YARA-L, and Bash.</p><p>Frameworks: MITRE ATT&amp;CK, NIST Cybersecurity Framework.</p><p>Tools: Git (Version Control), Terraform (Infrastructure as Code), Docker/Kubernetes (Containerization).</p><p>Data Standards: Deep knowledge of JSON, Protobuf, and Regex for log parsing and normalization.</p><p><strong>Soft Skills:</strong></p><p>Strong analytical thinking and problem-solving capability.</p><p>Excellent communication skills, able to explain technical findings to non-technical stakeholders.</p><p>Ability to work independently, manage multiple priorities, and meet deadlines.</p><p>Attention to detail and a structured, documentation-driven mindset.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Analyzes data collected from AMI systems to ensure completeness, accuracy, and reliability of metering data.</p></li><li><p>Performs data cleaning, validation, reconciliation, and exception analysis across AMI data sets.</p></li><li><p>Develops analytical insights to support operational optimization, loss reduction, and performance improvement initiatives.</p></li><li><p>Designs, creates, and maintains automated reports and dashboards to monitor AMI system performance.</p></li><li><p>Identifies trends, anomalies, and data quality issues and coordinates corrective actions with relevant teams.</p></li><li><p>Collaborates with metering, IT, AMI operations, and engineering teams to improve data accuracy and usability.</p></li><li><p>Supports ad-hoc analytical requests and performance assessments from management.</p></li><li><p>Ensures data governance, confidentiality, and compliance with corporate data policies.</p></li><li><p>Maintains proper documentation of analytical models, reports, and methodologies.</p></li><li><p>Performs other duties as assigned by the supervisor.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications / Certifications: Bachelor’s degree in Data Science, Computer Science, Engineering, or a related discipline. Certification in data analytics tools (Power BI, Tableau,Google Data Analytics, or equivalent).<br>Experience : Minimum 4 years of relevant experience in data analysis, preferably within AMI or utility systems.<br><br>Key Skills : </p><ul><li><p>Proficiency in data analytics tools (Power BI, Tableau).</p></li><li><p>Strong programming skills (Python, R, SQL).</p></li><li><p>Ability to manage large datasets and generate actionable insights.</p></li><li><p>Strong coordination and communication capabilities.</p></li><li><p>Efficiency, Adaptability, Communication, Initiative.</p></li><li><p>Written and Spoken English is essential; Arabic is preferred.<br></p></li></ul><p>Working Conditions:<br>Office-based analytical role with cross-functional coordination</p><p></p></section>

Job Description – Statistical Analyst Department: Planning & Quality Department Role Overview The Statistical Analyst is responsible for collecting, analyzing, and interpreting statistical data to support strategic planning, organizational performance measurement, and quality improvement initiatives. The role provides analytical insights, develops statistical reports, and supports evidence-based decision-making through the application of statistical techniques and data analysis methodologies. Key Responsibilities Collect, validate, clean, and analyze data from multiple sources to ensure accuracy and reliability. Perform statistical analyses to identify trends, patterns, correlations, and performance gaps. Prepare periodic statistical reports, dashboards, and analytical summaries for management. Support the development, monitoring, and analysis of Key Performance Indicators (KPIs). Conduct descriptive and inferential statistical analyses to support planning and quality initiatives. Assist in forecasting, predictive analysis, and performance modeling using appropriate statistical techniques. Develop data visualizations and dashboards to communicate analytical findings effectively. Support benchmarking studies, surveys, and research projects by applying statistical methodologies. Monitor data quality and recommend improvements to data collection and reporting processes. Collaborate with internal departments to understand analytical requirements and provide data-driven recommendations. Utilize statistical and business intelligence tools such as SPSS, R, Python, SQL, Excel, and Power BI. Prepare technical documentation, reports, and presentations summarizing statistical findings. Ensure compliance with organizational data governance, quality standards, and reporting requirements. Stay updated on statistical methods, analytical tools, and industry best practices. Qualifications Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Applied Statistics, Operations Research, or a related quantitative field. Master's degree is preferred. Professional certifications in Data Analytics, Business Intelligence, SQL, Power BI, or statistical software are an advantage. Experience3–5 years of experience in statistical analysis, data analytics, business intelligence, or performance analysis. Experience supporting strategic planning, quality management, or performance measurement is preferred. Experience in government or public sector organizations is an advantage. Knowledge, Skills & Competencies Strong knowledge of statistical concepts, quantitative analysis, and research methodologies. Proficiency in statistical software such as SPSS, R, Python, SAS, and database tools such as SQL. Experience with data visualization tools including Power BI or Tableau. Strong analytical, problem-solving, and critical thinking skills. Excellent attention to detail and data accuracy. Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders. Strong report writing, presentation, and communication skills. Good organizational and time management skills. Ability to work collaboratively within cross-functional teams. Commitment to continuous learning and professional development in analytics and statistics.

Job Description – Statistical Analyst Department: Planning & Quality Department Role Overview The Statistical Analyst is responsible for collecting, analyzing, and interpreting statistical data to support strategic planning, organizational performance measurement, and quality improvement initiatives. The role provides analytical insights, develops statistical reports, and supports evidence-based decision-making through the application of statistical techniques and data analysis methodologies. Key Responsibilities Collect, validate, clean, and analyze data from multiple sources to ensure accuracy and reliability. Perform statistical analyses to identify trends, patterns, correlations, and performance gaps. Prepare periodic statistical reports, dashboards, and analytical summaries for management. Support the development, monitoring, and analysis of Key Performance Indicators (KPIs). Conduct descriptive and inferential statistical analyses to support planning and quality initiatives. Assist in forecasting, predictive analysis, and performance modeling using appropriate statistical techniques. Develop data visualizations and dashboards to communicate analytical findings effectively. Support benchmarking studies, surveys, and research projects by applying statistical methodologies. Monitor data quality and recommend improvements to data collection and reporting processes. Collaborate with internal departments to understand analytical requirements and provide data-driven recommendations. Utilize statistical and business intelligence tools such as SPSS, R, Python, SQL, Excel, and Power BI. Prepare technical documentation, reports, and presentations summarizing statistical findings. Ensure compliance with organizational data governance, quality standards, and reporting requirements. Stay updated on statistical methods, analytical tools, and industry best practices. Qualifications Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Applied Statistics, Operations Research, or a related quantitative field. Master's degree is preferred. Professional certifications in Data Analytics, Business Intelligence, SQL, Power BI, or statistical software are an advantage. Experience3–5 years of experience in statistical analysis, data analytics, business intelligence, or performance analysis. Experience supporting strategic planning, quality management, or performance measurement is preferred. Experience in government or public sector organizations is an advantage. Knowledge, Skills & Competencies Strong knowledge of statistical concepts, quantitative analysis, and research methodologies. Proficiency in statistical software such as SPSS, R, Python, SAS, and database tools such as SQL. Experience with data visualization tools including Power BI or Tableau. Strong analytical, problem-solving, and critical thinking skills. Excellent attention to detail and data accuracy. Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders. Strong report writing, presentation, and communication skills. Good organizational and time management skills. Ability to work collaboratively within cross-functional teams. Commitment to continuous learning and professional development in analytics and statistics.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Master s or PhD in Data Science, AI, or related field</li><li>10 13+ years in advanced analytics</li><li>Strong programming (Python, AI/ML frameworks)</li></ul><p></p></section>

We Are<br><br>Our AI & Data team helps clients transform business challenges into opportunities through advanced analytics, AI, and intelligent decision-making. We work across industries to design and deliver practical analytical solutions.<br><br>The Work<br><br>As an AI Decision Science Consultant, you will work with clients to develop analytical solutions, generate insights, and support AI-driven transformation initiatives.<br><br><br>Conducting data analysis and statistical modeling<br>Building predictive and analytical solutions<br>Supporting machine learning use cases and AI initiatives<br>Creating dashboards, reports, and decision-support tools<br>Gathering and documenting client requirements<br>Presenting findings and recommendations to stakeholders<br>Collaborating with multidisciplinary consulting teams<br><br><br>Here's What You Need<br><br><br>Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Economics, or related field<br>3+ years of analytics, AI, or data science experience<br>Strong analytical and problem-solving skills<br>Experience with SQL, Python, or similar analytical tools<br>Excellent communication and presentation skills<br><br><br>Bonus Points If You Have<br><br><br>Machine learning project experience<br>Data visualization expertise<br>Experience in consulting or client-facing environments

Job Description<br><br>Strong experience in data analysis, data engineering, or AI development (Microsoft Copilot, Google Gemini Enterprise) Proficiency in programming languages such as Python and SQL. Experience with machine learning frameworks Knowledge of data visualization and BI tools Understanding of databases, data warehouses, and cloud data platforms Strong analytical and problem-solving skills Good communication and documentation abilities<br><br>Responsibilities<br><br>Design, develop, and maintain data pipelines, databases, and data platforms Collect, clean, and transform structured and unstructured data Build, train, test, and deploy AI / machine learning models Develop dashboards, reports, and data insights for business users Integrate AI solutions with business applications and systems Ensure data quality, governance, security, and privacy compliance Monitor and optimize data and AI model performance Collaborate with business, IT, and analytics teams to translate needs into solutions Document data models, pipelines, and AI solutions<br><br>Qualifications<br><br>Bachelor’s degree3-6 years of experience Experience with cloud platforms (AWS, Azure, GCP)

ROLES & RESPONSIBILITIES:Provide L2 technical support for AI applications (chatbots, assistants, automation tools) Work with external vendors and agencies to implement and integrate AI solutions Troubleshoot production issues with LLM APIs, data pipelines, and application performance Customize and configure vendor-delivered AI solutions to requirements Build integrations between AI applications and enterprise systems Review and validate code/solutions delivered by external agencies Maintain technical documentation and runbooks Monitor application performance and implement fixes Handle API configuration, authentication, and access management.<br>SKILLS & COMPETENCIES:5+ years full stack development experience Strong Python backend skills (Fast API, Flask, or Django) Frontend development experience (React, Vue, or Angular) Experience working with external vendors and technical teams REST API integration and troubleshooting Azure services experience (App Services, Functions, API Management)<br>PREFERRED SKILLS:Experience with LLM APIs (Open AI, Azure Open AI, Anthropic) Knowledge of RAG patterns and vector databases Experience reviewing and validating third-party code Understanding of enterprise integration patterns

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Design, develop, and maintain data ingestion, transformation, and orchestration pipelines using Microsoft Fabric and Azure Data Factory (ADF).</p></li><li><p>Build and manage ETL/ELT processes for structured and unstructured data sources.</p></li><li><p>Develop and optimize data models, data lakes, and data warehouses within the Azure ecosystem.</p></li><li><p>Integrate data from multiple on-premises and cloud-based systems.</p></li><li><p>Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance.</p></li><li><p>Implement data quality, governance, and security best practices.</p></li><li><p>Collaborate with business analysts, data scientists, and stakeholders to understand data requirements.</p></li><li><p>Develop and maintain technical documentation, data dictionaries, and operational procedures.</p></li><li><p>Support reporting and analytics platforms such as Power BI.</p></li><li><p>Participate in data platform modernization and cloud migration initiatives.implementing improvements.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><br></p><ul><li><p>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</p></li><li><p>Minimum 4–6 years of experience in data engineering or related roles.</p></li><li><p>Strong experience with Microsoft Fabric, including Data Factory, Lakehouse, Data Warehouse, and Dataflows.</p></li><li><p>Hands-on experience with Azure Data Factory (ADF).</p></li><li><p>Proficiency in SQL and data modeling concepts.</p></li><li><p>Experience with Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure SQL Database.</p></li><li><p>Strong understanding of ETL/ELT design and implementation.</p></li><li><p>Experience with REST APIs, data integration, and automation.</p></li><li><p>Knowledge of CI/CD practices and version control tools such as Git.</p></li><li><p>Strong analytical and problem-solving skills.</p></li></ul><p>Preferred Qualifications</p><ul><li><p>Microsoft Azure Data Engineer certification (DP-203) or Microsoft Fabric certification.</p></li><li><p>Experience with Python, PySpark, or Spark-based data processing.</p></li><li><p>Experience with Power BI and analytics solutions.</p></li><li><p>Knowledge of DevOps and Infrastructure-as-Code practices.</p></li><li><p>Experience working in Agile environments.</p></li></ul><p>Technical Skills</p><ul><li><p>Microsoft Fabric</p></li><li><p>Azure Data Factory (ADF)</p></li><li><p>Azure Data Lake Storage (ADLS Gen2)</p></li><li><p>Azure Synapse Analytics</p></li><li><p>Azure SQL Database</p></li><li><p>SQL Server</p></li><li><p>PySpark / Spark</p></li><li><p>Python</p></li><li><p>Power BI</p></li><li><p>Git / Azure DevOps</p></li><li><p>REST APIs</p></li></ul><p>Key Competencies</p><ul><li><p>Data Integration &amp; ETL/ELT Development</p></li><li><p>Data Modeling &amp; Warehousing</p></li><li><p>Performance Optimization</p></li><li><p>Problem Solving &amp; Troubleshooting</p></li><li><p>Stakeholder Management</p></li><li><p>Documentation &amp; Knowledge Sharing</p></li><li><p>Team Collaboration</p></li></ul><p></p></section>

???? Welcome to Your Next Adventure!<br><br>???? What You’ll Get Your Hands On<br><br>Team Leadership<br><br>Lead a cross-functional engineering team focused on Python applications, AI/ML services, and data-driven platforms. Mentor Senior, Middle, and Junior Engineers, ensuring alignment with engineering standards and ML project requirements. Set short-, mid-, and long-term goals for the team, continuously supporting skill growth in software engineering and ML system design. Coordinate with Product, Data Science, QA, Dev Ops, and Platform Leads to ensure the successful delivery of AI/ML initiatives.<br><br>Architecture & System Design<br><br>Drive end-to-end architecture and design for AI/ML applications, model-serving infrastructure, and Python backend services. Oversee architectural decisions for scalable model deployment (REST APIs, streaming pipelines, batch systems), ensuring performance, reliability, and maintainability. Define standards for feature engineering pipelines, data ingestion flows, and integration with MLOps platforms. Break down complex AI/ML initiatives into actionable engineering tasks and clear technical roadmaps.<br><br>AI/ML System Delivery<br><br>Collaborate with Data Scientists to productionize ML models, ensuring reproducibility, versioning, and monitoring. Lead implementation of model-serving frameworks, vector databases, data processing jobs, and inference optimization strategies. Ensure adherence to best practices in experiment tracking, model evaluation, and A/B testing for ML features.<br><br>Process Improvement & Engineering Excellence<br><br>Improve development workflows, CI/CD pipelines, and ML lifecycle automation. Promote coding standards, technical documentation, and reduction of technical debt across AI/ML projects. Introduce new tools and technologies that enhance model performance, data quality, and engineering productivity.<br><br>Recruitment, Culture & Knowledge Sharing<br><br>Participate in hiring for both backend and ML-focused engineering roles. Facilitate knowledge-sharing sessions around ML system architecture, Python best practices, and cloud-native development. Strengthen team culture through collaboration, mentorship, and proactive communication.<br><br>Incident Management & Reliability<br><br>Oversee reliability of AI/ML services, including model drift detection, data quality monitoring, and performance metrics. Coordinate incident response, root-cause analysis, and cross-team escalations for production ML systems.<br><br>????‍♂️ The Magic You Bring<br><br>Bachelor’s degree in Computer Science, Engineering, Data Science, or related field. Experience in logistics solutions or related fields. Advanced degrees (MSc/PhD) in AI/ML or Applied Data Science are a plus. Strong communication skills, able to explain complex ML workflows and architectural decisions to technical and business stakeholders. Data-driven decision-making and the ability to justify improvements using metrics. Balanced leadership mindset—capable both of delegating and of hands-on deep technical work. Comfortable navigating ambiguity and aligning stakeholders in AI-driven product contexts.<br><br>Python & Backend Engineering<br><br>Expert-level Python developer with strong understanding of backend frameworks (Fast API, Flask, Django) and microservices patterns. Strong grounding in algorithms, distributed systems, and scalable backend architecture.<br><br>AI/ML Engineering<br><br>Experience deploying ML models to production (batch, real-time, streaming). Knowledge of ML frameworks such as Tensor Flow, PyTorch, Scikit-learn, and model-serving technologies (like Torch Serve, MLflow, Sage Maker, Vertex AI, etc.). Experience with vector databases, feature stores, and embedding-based search is a strong plus.<br><br>MLOps & Cloud<br><br>Hands-on experience with CI/CD for ML systems, containerization (Docker), orchestration, and cloud environments (AWS/GCP). Familiarity with monitoring tools for ML pipelines: logging, metrics, tracing, model drift detection.<br><br>Data, Storage & Integration<br><br>Strong understanding of data pipelines, ETL/ELT workflows, and both relational and NoSQL databases. Ability to design caching, queuing, and event-driven architectures supporting ML workflows.<br><br>Quality & Reliability<br><br>Establishes testing standards for data validation, model correctness, API reliability, and system performance. Drives observability across AI services and ensures robust monitoring coverage.<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>