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Senior QA Engineer (Data Platform Testing)
Experian
Hyderabad, IND
Full-time
Senior
Hybrid
Discovered 3 weeks ago
BrunoInsomniaPostmanPythonHarnessPact
Free
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BrunoInsomniaPostman
Role Overview
We are looking for an experienced Automated Tester to build and evolve a robust, scalable automation capability across APIs, data pipelines, and our graph‑based identity platform. This role spans CI/CD gating, automated data and contract validation, graph integrity testing, performance and regression testing, and full end‑to‑end API testing within AWS. The successful candidate will ensure that our identity platform consistently meets quality, compliance, and operational standards.
Key Skills for This Role
BrunoInsomniaPostmanPythonHarnessPact
Full Job Posting
Role Overview
We are looking for an experienced Automated Tester to build and evolve a robust, scalable automation capability across APIs, data pipelines, and our graph‑based identity platform. This role spans CI/CD gating, automated data and contract validation, graph integrity testing, performance and regression testing, and full end‑to‑end API testing within AWS. The successful candidate will ensure that our identity platform consistently meets quality, compliance, and operational standards.
Key Responsibilities
- Design, implement, and maintain automated test suites across API, data workflow, and graph components, integrating them into CI/CD pipelines with quality gates (unit, static analysis/security, data quality, contract/compliance, and final integrity checks).
- Own CI/CD quality enforcement , including gated releases, automated evidence of test results, and publish blocks when validation fails (e.g., consent, schema, integrity, scoring).
- Develop automated contract and compliance checks , including schema validation, required fields mapping, TCF/consent validation, and PII‑risk checks aligned to governance requirements.
- Build and execute automated end‑to‑end API tests using tools such as Bruno, Insomnia, or Postman, validating API behaviour through API Gateway, Lambda integrations, and downstream data/graph operations.
- Build data quality monitors (nulls/ranges, volume deltas, distribution checks) and statistical tests suited to identity clusters; operationalize them as part of routine runs.
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