QA Automation Engineer

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.