Senior Data QA Engineer

Location: 1 day/ month on site in Wayne, PAPosition DescriptionPerform end-to-end QA of data and ETL/ELT pipelinesValidate source-to-target mappings, transformations, and business rulesWrite complex SQL for data validation and reconciliationDesign test plans, test cases, and automated data testsValidate data completeness, accuracy, integrity, and consistencyBuild QA automation for Databricks, DLT, and ADFImplement schema, constraint, and reconciliation checksAutomate ADF pre/post-load and schema drift validationBuild reusable QA frameworks using SQL, Python, and PySparkIntegrate data QA gates into Azure DevOps CI/CD pipelinesPerform regression, volume, load, and pipeline testingTroubleshoot data issues across source, transformation, and target layersPartner with data engineers, architects, governance, and business teamsDocument test results, defects, traceability, and audit evidenceMentor junior QA resourcesRequired Skills8+ years of Data QA/data testing experienceTrue Data QA background with hands-on ETL/data pipeline testingAdvanced, hands-on SQL for complex data validationStrong ETL/ELT testing and source-to-target reconciliationData transformation and business-rule validationAzure Databricks, Delta Lake, DLT, and WorkflowsAzure Data Factory pipelines and data validationPython and/or PySpark for QA automationData quality and pipeline regression automationAzure DevOps and CI/CDStrong data troubleshooting and root-cause analysisAbility to work hands-on while helping drive QA strategyT1480674-PHI_1793815674