Azure Data Engineer

Overview

Build scalable and secure Azure data platforms for SaaS, multi-tenant applications. Develop data pipelines, transformations, and event-driven workflows while using AI-assisted engineering tools.

What you'll do

• Build and maintain data pipelines with Azure Synapse and Spark notebooks.
• Ingest, transform, and incrementally load data from multiple sources.
• Automate background processing with Azure Functions.
• Model and manage data in relational and NoSQL databases.
• Monitor and troubleshoot pipeline issues and performance bottlenecks.
• Use and validate AI-generated code, SQL, tests, and documentation.

What you'll need

• 5–8 years of experience.
• Experience with Azure Synapse Analytics, including Pipelines and SQL pools.
• Hands-on experience with PostgreSQL, Azure SQL, or Cosmos DB.
• Strong SQL and basic data modelling skills.
• Understanding of incremental loads, CDC, and performance tuning.
• Basic knowledge of Managed Identity, RBAC, and Key Vault.
• Hands-on experience with AI-assisted development tools and effective prompting.

Nice to have

• Exposure to Microsoft Fabric or Delta Lake/Parquet formats.
• Understanding of event-driven or asynchronous processing.
• Familiarity with CI/CD, Git, and collaborative development.
• Exposure to Agentic AI workflows or agent frameworks.
• Familiarity with Azure AI services or LLM-backed features such as RAG.

Details

• Location: Nashik/Pune, India.
• Employment type: Full-time.