Job Description

An Azure Data Engineer designs, builds, and manages scalable data pipelines and cloud storage solutions on the Microsoft Azure platform.

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Location- Chn/blr/hyd

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Core Responsibilities

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Pipeline Development: Build and maintain ETL/ELT workflows using Azure Data Factory to move data from various sources into centralized storage.
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Data Processing: Transform, clean, and aggregate large datasets using Azure Databricks, Spark, and PySpark.
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Storage Management: Configure and optimize data lakes and warehouses via Azure Data Lake Storage Gen2 and Azure Synapse Analytics.
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Performance & Quality: Monitor pipeline performance, troubleshoot query execution, and ensure data integrity and security (RBAC, encryption).
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Key Skills & Tech Stack





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Languages: Advanced SQL and Python/PySpark.
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Azure Services: ADF, ADLS Gen2, Databricks, Synapse Analytics, and Stream Analytics.
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Data Modeling: Dimensional modeling, star/snowflake schemas, and data warehousing concepts.
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DevOps: Git version control and CI/CD pipeline integration.
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If you are tailoring a resume or drafting a specific job posting, tell me:

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The experience level required (Junior, Mid-level, Senior)
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Any specific industry tools to include (like Snowflake, Terraform, or Kafka)
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📌 Data Engineer Hyderabad
🏢 Tata Consultancy Services
📍 Hyderabad