Big Data Engineer Lead

S&P Global

Base: $149,302 – $202,267; bonus: annual incentive...
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8+ years data engineering experience
4+ years aws data lake implementation
Expertise in s3 redshift emr spark
** S&P Global is seeking a Big Data Engineer Lead to join their Ratings Organization's Data Services Team. The ideal candidate should have extensive experience in data engineering, particularly with AWS technologies, and will play a crucial role in building and evolving the analytics platform. **

Job Summary

  • This role offers a unique opportunity to build and evolve the next-generation analytics platform for S&P Ratings.
  • The successful candidate will design efficient data pipelines between enterprise systems and analytics platforms using modern AWS cloud technologies.
  • S&P Global provides comprehensive benefits including health care coverage, flexible downtime, and continuous learning resources.

Matching Summary

Match Score: 75

** S&P Global is seeking a Big Data Engineer Lead to join their Ratings Organization's Data Services Team. The ideal candidate should have extensive experience in data engineering, particularly with AWS technologies, and will play a crucial role in building and evolving the analytics platform. **

Salary

Base: $149,302 – $202,267; Bonus: Annual incentive plan eligible; Benefits: Health, retirement, education programs specified

Skills & Requirements

Must-have

  • 8+ years data engineering experience
  • 4+ years AWS data lake implementation
  • Expertise in S3 Redshift EMR Spark
  • Python Scala Java programming skills
  • Agile software development methodology

Nice-to-have

  • Machine learning library experience
  • R programming language exposure
  • Financial services industry background
  • Strong analytical thinking skills
  • Ability to influence IT partners

Key Requirements

  • BS or MS degree in Computer Science or IT
  • 8+ years as data engineer
  • 4+ years hands-on AWS data lake experience
  • US work authorization required

Work Rights

Not specified

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