Quality Engineer (ETL & Azure)

Role: QA Engineer (ETL & Azure)

Duration: 6 Months with posibilities of extensions

Location: Remote in India

Job Summary:

We are seeking an experienced QA Engineer to validate a metadata-driven Data & AI platform that processes Pharmacovigilance case data through Azure Data Factory, Databricks, Microsoft Foundry AI services, and JSON-based integrations. The QA Engineer will be responsible for validating data accuracy, metadata-driven execution, XML-to-JSON transformations, pipeline reliability, auditability, and end-to-end functionality across the solution. The role includes integration, system, and UAT support activities.

• Test Planning & Analysis
• Data Validation Testing
• ETL / Data Pipeline Testing
• AI / Generative AI Validation
• Integration Testing
• Quality & Compliance Validation
• Defect Management & Reporting
• Required Technical Skills
• Data Testing
• Cloud & Data Technologies
• File Testing
• Test Management