Data QA Engineer We are seeking a Data QA Engineer with 6+ years of experience in Data Engineering QA. The ideal candidate is a team-oriented team player who can take ownership of end-to-end test cycles, deliver clear outcomes, and manage defects through closure.

Responsibilities Develop test strategies, plans, scenarios, cases, and test data. Test data pipelines, ETL/ELT processes, transformations, and large datasets. Perform data validation, reconciliation, regression, integration, performance, and load testing. Own test execution, defect management, reporting, and release-readiness recommendations. Collaborate with engineering, product, and business teams to resolve quality issues. Build and maintain reusable automated tests using Python and SQL.





Required Skills Databricks, Airflow, Python, and advanced SQL AWS Redshift or similar databases/data warehouses Test management and test-case development HP ALM or similar test management tools GitHub and version control Performance and load testing Strong data-analysis, troubleshooting, communication, and ownership skills Desired Skills which would stand out AI and machine learning foundations AI agents and agentic workflows MCP servers and Retrieval-Augmented Generation (RAG) Experience testing AI/ML or generative AI solutions

📌 Lead Software Engineer (Hyderabad)
🏢 Virtusa
📍 Hyderabad