We are looking for a Data Engineer to join our Risk and Quantitative team to help manage our data. The successful candidate will design and implement cutting-edge solutions across Cloud, DevOps, and Data Engineering to streamline our processes.
Requirements
- Innovative Solutions: Design and implement cutting-edge solutions across Cloud, DevOps, and Data Engineering to streamline our processes.
- Data Stewardship: Take ownership of all data managed in-house, sourced from top-tier vendors like BlackRock, Clearwater, Bloomberg, ICE, BONY, and external managers.
- Collaborative Onboarding: Partner with business units and IT together to onboard new data sources and enhance our ingestion processes.
- Process Enhancement: Continuously develop and refine data ingestion processes, emphasizing robust data governance and control mechanisms.
- Architectural Design: Play a pivotal role in designing our data storage systems and ETL processes to ensure efficiency and scalability.
- Strategic Collaboration: Work closely with AIM's GSO partner to oversee and improve manual or ad hoc data ingestion tasks.
- Comprehensive Documentation: Maintain detailed documentation of all data engineering processes and solutions to ensure clarity and continuity.
- Quality Assurance: Develop and execute rigorous test plans to guarantee the reliability and accuracy of our data pipelines and systems.
