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.