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Full-time
Posted 6d ago
Apply by Sep 1
~40 hrs/week
Responsibilities
The Lead AQA Data Engineer will manage QA efforts, enhance test automation frameworks, and ensure the correctness of data pipelines. They are responsible for collaborating with engineering and product teams to deliver comprehensive test plans and automated test suites.
Requirements
Candidates must have proven experience in QA, testing web applications, and large-scale cloud-based data pipelines. Expertise in building automated test frameworks from scratch and strong analytical skills are essential for this role.
Full job description
Job Description
Must have: Test automation is an area to improve, process, framework need to be enhanced, the volume of data is high on the pipelines and ETL/ETF process verification is not automated today. GenAI is in experiment but not mature.
Requirements
Proven experience in QA, testing web applications, data pipelines, and large-scale cloud-based services.
Expertise in test planning, creating test cases, and executing manual and automated tests, developed collaboratively with engineering and product stakeholders.
Demonstrated track record of building automated test frameworks from scratch or significantly expanding existing ones.
Technology stack:
▪ Frontend: Ember.js, React.js, TypeScript
▪ Backend: Django, Ruby on Rails, FastAPI, Airflow, Apache Spark
QA tooling (open to vendor proposals that best align with our setup)
A test case management tool such as JAMA or Radar
Strong analytical and problem-solving skills with attention to system-wide complexities.
Experience with Agile, CI/CD pipelines, and version control (Git).
Note: No perfect match needed, but the work with data pipelines is a must
Scope:
1. Manual Testing - Validate developer fixes and new features as they are completed, hands-on, case-by-case testing against documented test cases that have been collaboratively defined with engineers and product owners ahead of time.
2. Automated Testing - QA is expected to automate test cases in close collaboration with manual testers, with automation completed before features ship to production. Automated tests should be added to the test suite as a condition of release.If a test case cannot be automated, it must be explicitly documented and tracked as a recurring manual regression item so nothing is silently dropped.
Nice to have
Performance Testing - Build and maintain a framework to track Recon's system performance over time, validating both functional andnon-functional requirements. While critical during database upgrades, infrastructure changes, and majorreleases, performance testing should also be integrated into the regular release cycle to catch holistic, cross-component regressions that fall outside individual developer scope.
Load Testing - Build and maintain a framework to evaluate Recon's load-bearing capacity. Like performance testing, this is run infrequently but is essential when needed.
Key points: Test automation is an area to improve, process, framework need to be enhanced, the volume of data is high on the pipelines and ETL/ETF process verification is not automated today.GenAI is in experiment but not mature. The QA lead will be the point of contact with Apple teams and manage the work for QA engineers, is expected from the lead automation expertise (Archive + hands on) to improve current solution and approach for QA.
Deliverables
Completed test plans, cases, and scripts for the Recon data pipeline, developed in collaboration with engineering and product owners.
Automated test suite covering UI, API, backend services, and data pipeline correctness, with measurable, growing coverage over the year.
A QA-owned regression pipeline for pre-release runs. (Longer-term goal: integration into Recon CI/CD pipelines once automation coverage is mature.)
Regular test reports documenting results, defects, and recommendations.
Weekly written progress reports covering workload management, blockers, automation coverage trend, and upcoming priorities.
Related keywords
Test AutomationData EngineeringETLAWS AuroraApache IcebergTrinoCassandraDockerCI/CDGitAgileEmber.jsReact.jsTypeScriptDjangoRuby on Rails
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.
Make it real | www.capgemini.com
Offices: Place de l'Étoile, 11 rue de Tilsitt, Paris, France 75017, FR · Hullenbergweg 294, Amsterdam, North Holland 1101 BV, NL · 1601 Bryan St, Dallas, TX 75201, US · 595 Collins St, Melbourne, VIC 3000, AU · Fauststraat 3, Apeldoorn, Gelderland 7323 BA, NL
OutsourcingProcess ConsultingPackage Based SolutionsCustom Solution DevelopmentApplication ManagementArtificial IntelligenceBusiness ConsultingCloudDigitalManaged Services
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.
Make it real | www.capgemini.com
Offices: Place de l'Étoile, 11 rue de Tilsitt, Paris, France 75017, FR · Hullenbergweg 294, Amsterdam, North Holland 1101 BV, NL · 1601 Bryan St, Dallas, TX 75201, US · 595 Collins St, Melbourne, VIC 3000, AU · Fauststraat 3, Apeldoorn, Gelderland 7323 BA, NL
OutsourcingProcess ConsultingPackage Based SolutionsCustom Solution DevelopmentApplication ManagementArtificial IntelligenceBusiness ConsultingCloudDigitalManaged Services