• 5+ years in QA / data testing, including a data-engineering foundation.
• Robust Python and PySpark for building test and reconciliation frameworks.
• Advanced SQL / T-SQL for cross-setting data validation.
• Experience testing lakehouse / medallion data platforms and BI reports.
• Familiarity with Microsoft Fabric, Databricks and Power BI is a robust plus.