Senior Data Engineer

S&P Global Energy

Not specified; not specified; competitive pyy + re...
Not specified (assumed hybrid or flexible based on industry trends)
4+ years data engineering experience
Distributed data processing frameworks
Python and sql proficiency
S&P Global Energy is seeking a Senior Data Engineer to enhance their data architecture and support cross-functional teams in optimizing data flow and analysis. The role requires extensive experience in data engineering, cloud platforms, and collaboration with various stakeholders to ensure data quality and reliability

Job Summary

  • The team is dedicated to building data systems from the ground up and optimizing data delivery architecture for the next generation of products.
  • You will directly contribute to the company's data infrastructure by creating optimal pipelines that enable informed business decisions based on accurate data.
  • S&P Global Energy offers comprehensive benefits including health coverage, flexible downtime, continuous learning resources, and family-friendly perks.

Matching Summary

Match Score: 85

S&P Global Energy is seeking a Senior Data Engineer to enhance their data architecture and support cross-functional teams in optimizing data flow and analysis. The role requires extensive experience in data engineering, cloud platforms, and collaboration with various stakeholders to ensure data quality and reliability.

Salary

Not specified; Not specified; Competitive pay and retirement planning included

Skills & Requirements

Must-have

  • 4+ years data engineering experience
  • Distributed data processing frameworks
  • Python and SQL proficiency
  • Cloud platforms AWS Azure or GCP
  • Workflow orchestration and scheduling
  • Containerization and CI/CD pipelines
  • RESTful API design principles

Nice-to-have

  • Streaming and messaging platforms
  • NoSQL database experience
  • Object-oriented programming patterns
  • Agile environment collaboration
  • System design for scalability
  • FastAPI or Flask framework knowledge

Key Requirements

  • Minimum 4 years in data engineering role
  • US Candidates Only requirement
  • Experience with version control systems like GitHub
  • Production environment software development experience
  • Strong analytical and problem-solving skills

Work Rights

US Candidates Only

Tailored Resume

Cover Letter