Design and Develop ETL Processes: Create and manage ETL workflows to extract data from various sources, transform it into the required format, and load it into target databases or data warehouses.
Data Integration: Consolidate data from multiple sources, ensuring data quality, accuracy, and consistency.
Performance Optimization: Analyze and enhance system performance, troubleshoot and debug data and system issues.
Data Modeling: Design and implement data models to support data integration and analysis.
Automation: Automate ETL workflows to improve efficiency and reduce errors.
Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and ensure data quality.
Documentation: Document ETL processes, data flows, and system architecture.