Data Engineer

Tasks/Responsibilities

• 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. Required.

Skills/Experience

• Familiar with script coding in Python and SQL.
• Experience with Azure Services, Azure Blob Storage, Snowflake and Databrick is a plus.
• Well-functioning team player and strong oral and written communicatorExcellent organizational skills with the ability to work on own initiative and follow instructions.
• Comfortable with tracing data flow and troubleshooting issues under limited
• time restriction Desired Skills/Experience.

Education

BS in Engineering, Computer Science, Information Technology degree, Data Analytics or equivalent