- Design, build, and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases.
- Improve observability, alerting, and SLOs across data systems.
- Optimize ETL/ELT workflows for performance, scalability, and fault tolerance.
- Develop dbt workflows to onboard Evaluation Partners and create end-of-day reporting.
- Build and support event-driven architectures and scalable platform components.
- Integrate complex financial APIs and third-party data sources into internal systems.
- Collaborate with analytics, product, and ML engineers to develop and deploy reliable data products.
- Promote high standards in code quality, testing, and platform reliability.