Senior Data QA Engineer

Location:

1 day/ month on site in Wayne, PA Position Description Perform end-to-end QA of data and ETL/ELT pipelines

Validate source-to-target mappings, transformations, and business rules

Write complex SQL for data validation and reconciliation

Design test plans, test cases, and automated data tests

Validate data completeness, accuracy, integrity, and consistency

Build QA automation for Databricks, DLT, and ADFImplement schema, constraint, and reconciliation checks

Automate ADF pre/post-load and schema drift validation

Build reusable QA frameworks using SQL, Python, and Py Spark Integrate  data QA gates into Azure Dev Ops CI/CD pipelines

Perform regression, volume, load, and pipeline testing

Troubleshoot data issues across source, transformation, and target layers

Partner with data engineers, architects, governance, and business teams

Document test results, defects, traceability, and audit evidence

Mentor junior QA resources

Required Skills8+ years of Data QA/data testing experience

True Data QA background with hands-on ETL/data pipeline testing

Advanced, hands-on SQL for complex data validation

Strong ETL/ELT testing and source-to-target reconciliation

Data transformation and business-rule validation

Azure Databricks, Delta Lake, DLT, and Workflows Azure Data Factory pipelines and data validation

Python and/or PySpark for QA automation

Data quality and pipeline regression automation

Azure Dev Ops and CI/CDStrong data troubleshooting and root-cause analysis

Ability to work hands-on while helping drive QA strategyT
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