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 Female Hiring Hyderabad (India)
🏢 Infosys
📍 India
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