Data Pipeline Development
- Design, build, and maintain scalable data pipelines and ETL processes to support various business needs
- Develop and optimize data architecture and data models to ensure efficient data storage and retrieval
Data Management
- Ensure data integrity, accuracy, and consistency across multiple data sources
- Implement data quality checks and monitoring solutions to detect and resolve data issues
Collaboration
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions
- Collaborate with cross-functional teams to integrate data from various sources into the data warehouse
Performance Optimization
- Optimize database performance, including query tuning and indexing
- Implement best practices for data management, data security, and compliance
Technical Leadership
- Mentor and guide junior data engineers, providing technical direction and support
- Stay updated with the latest industry trends and technologies to continuously improve the data engineering practices
Documentation and Reporting
- Create and maintain comprehensive documentation for data pipelines, processes, and data models
- Develop reports and dashboards to provide insights and support decision-making
