Jobs → Data & Analytics → Databricks QA Engineer

About the Role We are looking for an experienced Databricks QA Engineer with a strong background in Data Engineering, Data Quality, and Automation Testing. Key Responsibilities • Develop and execute automated test cases • Perform data validation and regression testing • Identify, report, and troubleshoot data quality issues • Validate Databricks pipelines and data transformations • Support automation-first QA practices and release sign-off Requirements • Strong experience in Databricks and Data Engineering • Hands-on experience with Medallion Architecture (Bronze, Silver, Gold) • Strong knowledge of Delta Lake, Data Lake, Data Ingestion, and ELT pipelines • Expert-level SQL skills • Automation testing using Python, PySpark, and Pytest • Experience with Unity Catalog, Lakeflow Pipelines, and Asset Bundles • Experience with Azure DevOps CI/CD pipelines and quality gates • Knowledge of Data Quality frameworks such as ODCS and DQX • Experience with AI-assisted QA and MCP-based testing is a plus