An Azure Data Engineer designs, builds, and manages cloud data pipelines, storage, and large-scale analytics solutions using Microsoft Azure services. Exp-6 years Location-Chennai, Bangalore Core Responsibilities Data Ingestion & Pipeline Development: Build automated ETL/ELT data pipelines using Azure Data Factory (ADF) to move data from various sources. Data Transformation & Processing: Process large datasets using Apache Spark via Azure Databricks or Azure Synapse Analytics. Data Modeling & Storage: Design data warehouses, data lakes (ADLS Gen2), and relational/NoSQL databases (Azure SQL, Cosmos DB). Monitoring & Governance: Ensure data quality, pipeline reliability, security, and compliance using tools like Azure Key Vault and DevOps. Essential Tech Stack & Skills Languages: Advanced SQL, Python, or PySpark/Scala. Azure Services: Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, ADLS Gen2, Azure SQL, and Cosmos DB. DevOps & Tools: Git, CI/CD pipelines, and Azure DevOps. Certifications: Microsoft Certified: Azure Data Engineer Associate (Exam DP-203).

📌 Data Engineer (Tamil Nadu)
🏢 Tata Consultancy Services
📍 Tamil Nadu