Data Engineer - Mid

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

Arch investment Management Ltd. (AIML), based in Bermuda, is a wholly owned subsidiary of Arch Capital Group Ltd., a leading insurance and reinsurance company. Arch Capital has investable assets of over $36 bn. Arch Investment Management manages Arch Capital and its subsidiaries' portfolios. The continued growth of the company has created the need to fill a new position within our Risk and Quantitative team to help manage our data.

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

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