Position: Data Bricks-Data Engineer

Experience: 2 to 5 years

Location: Hyderabad

Employment Type: Full time

Roles & Responsibilities

- Design, develop, and maintain scalable data pipelines using Databricks.
- Build and optimize ETL/ELT processes for large-scale data ingestion and transformation.
- Develop Spark and PySpark applications for batch and real-time processing.
- Implement Lakehouse architecture using Delta Lake.
- Create and maintain data models, tables, and data warehouses.
- Optimize Databricks jobs, Spark performance, and query execution.
- Integrate data from multiple cloud and on-premises sources.
- Ensure data quality, governance, and security standards.
- Work with Unity Catalog for data governance and access management.
- Automate deployments using CI/CD and Infrastructure as Code (Terraform).
- Monitor and troubleshoot production data pipelines.
- Collaborate with Data Scientists, BI Developers, and Business Stakeholders.
- Support cloud migration and data modernization initiatives.

📌 Azure Databricks-Data Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru