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About the role
5+ years in QA / data testing, including a data-engineering foundation. Strong Python and PySpark for building test and reconciliation frameworks. Advanced SQL / T-SQL for cross-environment data validation. Experience testing lakehouse / medallion data platforms and BI reports. Familiarity with Microsoft Fabric, Databricks and Power BI is a strong plus. Roles & Responsibilities Design and execute apple-to-apple data reconciliation between legacy and Fabric/Databricks environments. Validate all 149 Cascade 2.0 columns and channel mappings against the source-of-truth checklist. Build automated data-quality and regression tests using Python and PySpark. Test migrated Power BI reports for data accuracy, filters and RLS. Define pass/fail tolerances (row counts, key measures) and document defects. Partner with data and report engineers to close gaps before business sign-off.Data EngineeringPythonPySpark SQL / T-SQLData ReconciliationPower BI validation 5+ years in QA / data testing, including a data-engineering foundation. Strong Python and PySpark for building test and reconciliation frameworks. Advanced SQL / T-SQL for cross-environment data validation. Experience testing lakehouse / medallion data platforms and BI reports. Familiarity with Microsoft Fabric, Databricks and Power BI is a strong plus. Roles & Responsibilities Design and execute apple-to-apple data reconciliation between legacy and Fabric/Databricks environments. Validate all 149 Cascade 2.0 columns and channel mappings against the source-of-truth checklist. Build automated data-quality and regression tests using Python and PySpark. Test migrated Power BI reports for data accuracy, filters and RLS. Define pass/fail tolerances (row counts, key measures) and document defects. Partner with data and report engineers to close gaps before business sign-off.Data EngineeringPythonPySpark SQL / T-SQLData ReconciliationPower BI validation
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