Job Summary

We are looking for a Data Engineer to design, build, and optimize contemporary data platforms using Microsoft Fabric, Databricks, and Azure Data Services. The role focuses on developing scalable data pipelines, implementing data governance practices, and enabling enterprise analytics, reporting, and AI-driven solutions.

Key Responsibilities

- Design and implement end-to-end data engineering solutions using Microsoft Fabric and Azure.
- Develop and optimize ETL/ELT pipelines using Databricks, Azure Data Factory (ADF), and Synapse Analytics.
- Build and manage lakehouse and data platform architectures.
- Create data models and data integration frameworks.
- Develop data transformation processes using Python, SQL, Spark, and PySpark.
- Ensure data quality, security, governance, and compliance standards.
- Collaborate with business and technical teams to deliver data-driven solutions.
- Support analytics, reporting, and AI/ML initiatives through reliable data engineering practices.
- Troubleshoot and optimize data platform performance.

📌 Data Engineer (Bengaluru)
🏢 Capgemini
📍 Bengaluru