The QA & Automation Engineer will be responsible for validating ETL pipelines, data migration processes, and cloud data platform integrations across Azure services. This role involves hands‑on testing of large-scale data platforms, automation development, advanced SQL validation, and ensuring end‑to‑end data quality across enterprise data engineering initiatives.

Key Responsibilities

Perform end‑to‑end testing of ETL pipelines built using Azure Data Factory, Azure Databricks, Azure Synapse, and SSIS.

Validate data transformations, mappings, data quality rules, and data lineage.

Conduct source‑to‑target (S2T) reconciliation, data profiling, completeness, and accuracy checks.

Verify schema changes, incremental loads, delta loads, and historical load processes.

Data Migration Testing

Design and execute test strategies for large‑scale on‑prem to cloud or cross‑cloud data migration projects.

Validate ETL/ELT processes a...