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QA - Data Analytics

Job in 411001, Pune, Maharashtra, India
Listing for: TÜV SÜD
Full Time position
Listed on 2026-02-04
Job specializations:
  • IT/Tech
    IT QA Tester / Automation, Data Analyst, Data Security
Job Description & How to Apply Below
Job Title:

QA - Data Analytics

Job Location:

Pune

At TÜV SÜD we are passionate about technology. Innovations impact our daily lives in countless ways, and we are dedicated to being a part of that progress. We test, we audit, we inspect, we advise. We never stop challenging ourselves for the safety of society and its people. We breathe technology, we strive for professional excellence, and we leave a mark.

We take the future into our hands. We are TÜV SÜD.

Your Tasks:

• Collaborate with the Quality Manager, Project Managers and development teams to define, implement and execute end-to-end tests for new features and platform components.

• Develop and maintain automated test suites (unit, integration, UI, API) across React frontend and Python backend services.

• Ensure data pipelines, ML models, and AI features meet functional and non-functional quality criteria (e.g., accuracy, reliability, performance).

• Proactively identify, document, and drive resolution of defects and regressions, work on technical debts related to test coverage and software reliability.

• Collaborate with the QA team to identify gaps in testing and QA processes.

Your

Qualification:

• Minimum 5 years of experience in Quality Engineering or Software Testing, with demonstrable work in test automation and QA in multidisciplinary product teams.

• Strong programming skills in Python and JavaScript/Type Script; capable of writing testable code and automated test scripts without supervision.

Hands-on experience with frontend and backend test frameworks (e.g. Playwright, Pytest, Unit test, Postman, REST API testing) as well as experience in exploratory testing.

• Familiarity with Azure Dev Ops or similar CI/CD systems; ability to define test stages and integrate automated test pipelines.

• Experience validating AI and data analytics components, including model behavior, data transformation pipelines, and output consistency.

• Comfortable testing in cloud-native environments (preferably Azure), including API-based services, containerized apps, and serverless components.

• Skilled in using tools for quality assurance documentation, issue tracking, and defect management in agile environments.

• Leadership competence, communicative and social competence, business fluent and good knowledge of English.

• Communicative and social competence, business fluent and very good knowledge of English.

• Certification: ISTQB certification desirable.
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