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 (Chennai)
🏢 Tata Consultancy Services
📍 Chennai
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