Azure Data Engineer

Hiring: Data Engineer Azure | FTE

Location: Gurgaon / Bangalore (Gurgaon Preferred)
Experience: 4–5 Years
Budget: 2,60,000/- PM
Duration: 12 Months
Work Mode: Hybrid
Employment: FTE

Role Overview

We are looking for a strong Azure Data Engineer with hands-on expertise in Azure Data Services, Databricks, PySpark, Data Factory, Data Lakes and enterprise data integration.

The role involves building scalable data platforms and pipelines that support analytics, AI and Agentic AI use cases.

Must-Have Skills

• Strong experience in Azure Data Engineering
• Azure Data Factory (ADF)
• Azure Data Lake Storage Gen2 (ADLS)
• Azure Databricks & PySpark / Apache Spark
• Azure Synapse Analytics & Azure SQL
• Microsoft Fabric
• Design & implementation of Medallion Architecture – Bronze / Silver / Gold
• Strong ETL/ELT and enterprise data integration experience
• Batch, streaming & event-driven data ingestion
• CDC, incremental processing, upsert/merge & idempotent processing
• Data integration from SAP, CRM, Microsoft platforms, REST APIs, SaaS & third-party systems
• Data modeling, Lakehouse / ODS architecture
• Git & CI/CD – Azure DevOps / GitHub Actions
• Data quality, governance, metadata & lineage

AI / Modern Data Platform Exposure

Good exposure to:

• Azure AI Foundry
• Azure OpenAI
• Microsoft Copilot Studio
• AI-ready / API-ready data models
• Supporting AI, Agentic AI, analytics & microservices platforms

Good to Have

• Cosmos DB
• Azure Event Hubs
• Azure Functions
• Logic Apps / Service Bus
• Near real-time data processing
• Retail / SAP / CRM data integration
• Cloud migration experience
• Azure Data Engineer certification

Ideal Candidate

A hands-on Azure Data Engineer who can independently design and optimize enterprise-scale data pipelines and Lakehouse platforms, with strong knowledge of Databricks + PySpark + ADF + ADLS + Azure ecosystem.

Immediate/early joiners preferred.