QA Engineer

• This position will require a qualified Quality Assurance Analyst to take the lead on the following tasks: Review and validate the output of SQL and ETL development to ensure data accuracy, consistency, and alignment with business rules.
• Develop and execute detailed data test plans, test cases, and validation scripts targeting Azure Synapse pipelines, stored procedures, and data transformations.
• Reconcile data between source systems, staging areas, and curated data layers in Azure Data Lake or Synapse.
• Conduct regression testing on modified pipelines, stored procedures, or data models to confirm that changes do not introduce new issues.
• Collaborate with data engineers, ETL developers, and business analysts to document and resolve data discrepancies.
• Maintain data QA documentation including test results, issue logs, and validation procedures.
• Support the development of automated data quality checks or unit tests using SQL, Python, or other approved tools.
• Contribute to continuous improvement of QA processes, data validation frameworks, and DevOps testing integration.

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