Opportunity Description
Requirements
- 4–5 years of strong QA automation experience, with exposure to modern automation frameworks and AI‑assisted development tools.
- Hands‑on experience with Python and pytest for automation testing.
- Experience working on data‑driven projects involving pipelines, validation, and cloud‑based workflows.
- Good knowledge of Google Cloud Platform services, particularly for data integration, storage, and pipeline validation.
- Experience in validating reports and dashboards in Microsoft Power BI.
- Hands‑on experience with Zephyr for test case management, execution tracking, and defect traceability.
- Strong understanding of SDLC and QA processes within Agile environments.
- Proven experience in writing, executing, and monitoring automated test suites across UI, API, and data validation layers.
- Strong experience in API automation using REST‑based services.
- Familiarity with CI/CD pipelines using...
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