Job 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.