About the Role

We are looking for an experienced and passionate Azure Data Engineer to join our team at Capgemini. You will work with leading global brands to design, implement, and optimize contemporary data solutions using Microsoft Azure cloud services.

Key Responsibilities
Design and develop end-to-end data pipelines using Azure Data Factory (ADF) and Azure Databricks (ADB).
Work with Azure SQL Database, Azure SQL Data Warehouse, and Azure Synapse Analytics.
Develop data processing solutions using Python, PySpark, Scala, and Hive.
Build and maintain distributed data workflows on Azure Databricks.
Implement CI/CD pipelines for data applications.
Collaborate with teams to gather requirements and deliver high-quality data solutions.
Ensure data quality, performance tuning,



and cloud data architecture best practices.

Required Skills & Experience

Primary Skills (At least one required):
Azure Data Factory (ADF)
Azure Databricks (ADB)

Technical Skills:
Azure Data Bricks, Azure Data Factory
Azure SQL Database, Azure SQL Warehouse, Azure Synapse Analytics • Python, Pyspark, Scala, Hive
CI/CD pipeline development in data environments
Knowledge of cloud data architecture and ETL/ELT frameworks

Positive to Have
Experience with Azure DevOps
Performance optimization in distributed processing
Knowledge of data governance and security on Azure

📌 Azure Data Engineer Hyderabad
🏢 Capgemini
📍 Hyderabad