Big Data Engineer Lead

S&P Global Ratings

Base: $149,302 – $202,267; bonus/equity: eligible ...
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Aws cloud technologies
Distributed computing frameworks
Data governance principles
** S&P Global Ratings is seeking a Big Data Engineer Lead to join their Data Services Team to design and develop scalable data pipelines and support the analytics platform. The ideal candidate will have extensive experience with AWS cloud technologies and data engineering, along with strong leadership and communication skills. **

Job Summary

  • Be a part of a unique opportunity to build and evolve S&P Ratings next gen analytics platform.
  • Design and develop efficient and scalable data pipelines between enterprise systems and analytics platform.
  • Our benefits include Health & Wellness, Flexible Downtime, Continuous Learning, Invest in Your Future, and Family Friendly Perks.

Matching Summary

Match Score: 75

** S&P Global Ratings is seeking a Big Data Engineer Lead to join their Data Services Team to design and develop scalable data pipelines and support the analytics platform. The ideal candidate will have extensive experience with AWS cloud technologies and data engineering, along with strong leadership and communication skills. **

Salary

Base: $149,302 – $202,267; Bonus/Equity: Eligible for annual incentive plan; Benefits: Eligible for additional S&P Global benefits

Skills & Requirements

Must-have

  • AWS cloud technologies
  • distributed computing frameworks
  • data governance principles
  • Agile software development
  • design and implementation of data pipelines

Nice-to-have

  • machine learning libraries and frameworks
  • financial services industry experience
  • analytical thinking and communication skills
  • monitoring industry trends

Key Requirements

  • BS or MS degree in Computer Science or Information Technology
  • 8+ years of experience as data engineer
  • 4+ years of hands-on experience implementing data lake systems using AWS
  • Expert managing AWS services in a multi-account production environment
  • Experience with development frameworks and data integration technologies

Work Rights

Not specified

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