Senior Software Engineer- Python, Data Engineer

S&P Global Energy

Not specified; not specified; competitive pyy + re...
Not specified (assumed hybrid based on industry standards).
5 years experience in data engineering
Distributed data processing frameworks databricks
Python programming language proficiency
S&P Global Energy is seeking a Senior Software Engineer specializing in Python and Data Engineering to design and maintain data pipeline architecture, ensuring efficient data flow and quality across the organization. The ideal candidate will have extensive experience with data processing frameworks, cloud environments, and collaboration with cross-functional teams. ###

Job Summary

  • The role involves designing scalable data pipeline architecture to ensure efficient and reliable data flow across the organization.
  • Candidates will collaborate with cross-functional stakeholders including Executive, Product, Data, and Design teams to address technical challenges.
  • S&P Global Energy offers comprehensive benefits including health care coverage, generous time off, and continuous learning resources.

Matching Summary

Match Score: 85

S&P Global Energy is seeking a Senior Software Engineer specializing in Python and Data Engineering to design and maintain data pipeline architecture, ensuring efficient data flow and quality across the organization. The ideal candidate will have extensive experience with data processing frameworks, cloud environments, and collaboration with cross-functional teams. ###

Salary

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

Skills & Requirements

Must-have

  • 5 years experience in data engineering
  • Distributed data processing frameworks Databricks
  • Python programming language proficiency
  • Cloud data platforms AWS Azure GCP
  • SQL and workflow orchestration platforms
  • CI/CD platforms Jenkins GitLab CI
  • RESTful services and API design principles

Nice-to-have

  • Strong analytical and problem-solving skills
  • Experience working in Agile environments
  • Effective collaboration with non-technical stakeholders
  • Knowledge of streaming and messaging platforms
  • Understanding of container orchestration platforms

Key Requirements

  • Minimum 5 years of data engineering experience
  • Hands-on experience with Databricks and Python
  • Proficiency in cloud environments like AWS or Azure
  • Experience with version control systems such as GitHub
  • US Candidates Only requirement

Work Rights

US Candidates Only

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