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
📌 Quality Engineer (ETL & Azure) (India)
🏢 RED Global
📍 India
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