QA Data Engineer

Role Overview We are seeking an experienced QA Data Engineer (L1 & L2) to lead testing efforts for complex data pipelines and ensure high data quality across Azure-based data platforms. The candidate should have strong expertise in ETL testing, automation, and data validation using modern tools. Key Responsibilities • Design and execute end-to-end test strategies for data pipelines • Validate large-scale data transformations using Databricks and PySpark • Perform advanced ETL testing for Azure Data Factory pipelines • Develop and maintain automated test frameworks for data validation • Manage and optimize ADO Test Plans, test suites, and reporting dashboards • Conduct data reconciliation, regression testing, and performance testing • Create detailed test cases, test reports, and defect analysis reports • Work closely with data engineers, architects, and stakeholders • Ensure data quality, integrity, and governance standards Required Skills • Strong experience in: • Azure Data Factory • Databricks • PySpark • Expertise in ETL/Data Warehouse testing • Hands-on experience with Azure DevOps (ADO Test Plans, Boards, Reports) • Strong SQL skills for complex data validation • Experience in test automation (Python / PySpark-based validation preferred) • Knowledge of data pipelines, big data ecosystems, and cloud platforms • Familiarity with CI/CD pipelines in Azure DevOps Experience • 2–9 years of relevant experience in Data QA / Data Engineering QA • Number of Openings - 5 (Level 1 & Level 2)