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 solid plus.

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 Engineering
- Python
- PySpark
- SQL / T-SQL
- Data Reconciliation
- Power BI validation

5+ years in QA / data testing, including a data-engineering foundation.

Strong Python and PySpark for building test and reconciliation fr

... QA Python, Python, SQL, Power BI, Claude

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📌 Senior QA Engineer Data (Pune)
🏢 Infovision labs
📍 Pune