Senior Data Engineer

S&P Global Energy

Not specified; not specified; competitive pyy + re...
4+ years data engineering experience
Python and sql proficiency
Distributed data processing frameworks
The team is dedicated to optimizing data delivery architecture and redesigning the company's data architecture to support next-generation products

Job Summary

  • The team is dedicated to optimizing data delivery architecture and redesigning the company's data architecture to support next-generation products.
  • This role directly impacts clients by ensuring high-quality data availability for analysis, leading to better product development and informed decision-making.
  • S&P Global Energy offers comprehensive benefits including health care coverage, generous time off, continuous learning resources, and family-friendly perks.

Matching Summary

The team is dedicated to optimizing data delivery architecture and redesigning the company's data architecture to support next-generation products.

Salary

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

Skills & Requirements

Must-have

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

Nice-to-have

  • Strong analytical problem-solving skills
  • Experience in Agile environments
  • Collaboration with cross-functional stakeholders
  • Passion for building systems from ground up
  • Innovation in data delivery architecture

Key Requirements

  • Minimum 4 years of data engineering experience
  • Hands-on experience with distributed big data frameworks
  • Proficiency in version control systems like GitHub
  • Experience maintaining software in production environments
  • Knowledge of system design concepts for scalable architectures

Work Rights

US Candidates Only

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