Data Engineer

Data Analytic Engineer

India- Remote

Contract

• Strong SQL and PostgreSQL — schema comprehension of a large existing model, query optimization, indexing,
• Skilled in Data pipeline / ETL engineering — file ingestion, validation, staging, transformation, and activation patterns; idempotent and auditable loads.
• Hands-on experience on Azure data services — Azure PostgreSQL, Azure Storage, and the surrounding managed-service model.
• Knowhow about Data quality check and reconciliation
• Analytics / metrics engineering — translating benchmarking and KPI definitions into correct, testable calculations; handling quartiles, peer groups, and aggregations.
• Strong in Cosmos DB (MongoDB API) and Redis for document and cache/queue patterns.
• Familiarity with Neo4j (graph) and Qdrant (vector) stores, at least enough to understand how analytics data feeds.
• Exposure to Power BI or comparable BI/visualization
• Knows Python for data processing and integration with FastAPI services.