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Data Engineer

Posted
Discussion

  • 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

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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