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

Location- Chn/blr/hyd Core Responsibilities Pipeline Development:

Build and maintain ETL/ELT workflows using

Azure Data Factory to move data from various sources into centralized storage. Data Processing:

Transform, clean, and aggregate large datasets using

Azure Databricks , Spark, and PySpark. Storage Management:

Configure and optimize data lakes and warehouses via

Azure Data Lake Storage Gen2

and

Azure Synapse Analytics . Performance & Quality:

Monitor pipeline performance, troubleshoot query execution, and ensure data integrity and security (RBAC, encryption). Key Skills & Tech Stack Languages:

Advanced SQL and Python/PySpark. Azure Services:

ADF, ADLS Gen2, Databricks, Synapse Analytics, and Stream Analytics. Data Modeling:

Dimensional modeling, star/snowflake schemas, and data warehousing concepts. DevOps:

Git version control and CI/CD pipeline integration.

If you are tailoring a resume or drafting a specific job posting, tell me: The experience level required (Junior, Mid-level, Senior) Any specific industry tools to include (like Snowflake, Terraform, or Kafka)

📌 Data Engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad