Key Responsibilities
Data Engineering and Pipeline Development
- Develop and maintain components of data pipelines for data ingestion and transformation
- Write efficient and maintainable SQL queries and Python scripts for data processing
- Execute and monitor data quality validation processes
- Troubleshoot and resolve issues in data pipelines and workflows
Platform and Technical Delivery
- Implement technical solutions based on specifications provided by senior engineers
- Assist in translating business requirements into technical implementations
- Follow engineering standards, best practices, and coding guidelines
- Participate in code reviews to improve solution quality and technical capability
- Maintain documentation for data processes, configurations, and workflows
Collaboration and Continuous Improvement
- Work collaboratively with team members across data engineering, platform, and visualization functions
- Contribute to continuous improvement initiatives to enhance data reliability and efficiency
- Develop knowledge of investment management concepts and data domains
