AWS Data Bricks

Roles & ResponsibilitiesDesigning and Developing Data Pipelines:Create and maintain data processing pipelines using Spark within Databricks notebooks.Optimize data workflows for performance, scalability, and reliability.Data Modeling and Warehousing:Develop and maintain data models to support data analysis and reporting.Design and manage data warehouses and data marts.ETL Processes:Implement and maintain ETL (Extract, Transform, Load) processes to move data between systems.Collaboration:Work closely with data scientists and analysts to understand data requirements and deliver actionable insights.Data Governance and Security:Ensure compliance with data governance standards.Address data security and privacy requirements.Troubleshooting and Monitoring:Monitor daily operations, troubleshoot issues, and optimize job performance.