Not specified; not specified; competitive pyy + re...
Not specified (assumed hybrid based on industry standards).
5 years data engineering experience
Distributed data processing frameworks databricks
Python programming proficiency
S&P Global Energy is seeking a Senior Software Engineer with a focus on Python and data engineering to design and maintain data pipeline architectures. The ideal candidate will possess extensive experience in data engineering, cloud platforms, and collaboration with cross-functional teams, while benefiting from a comprehensive range of employee wellness and development programs
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, and Data 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 with a focus on Python and data engineering to design and maintain data pipeline architectures. The ideal candidate will possess extensive experience in data engineering, cloud platforms, and collaboration with cross-functional teams, while benefiting from a comprehensive range of employee wellness and development programs.
Salary
Not specified; Not specified; Competitive pay and retirement planning mentioned
Skills & Requirements
Must-have
5 years data engineering experience
Distributed data processing frameworks Databricks
Python programming proficiency
Cloud data platforms AWS Azure GCP
SQL and workflow orchestration
CI/CD platforms Jenkins GitHub Actions
Nice-to-have
Strong analytical problem-solving skills
Experience with Agile Scrum environments
Effective stakeholder collaboration
RESTful API design principles
Object-oriented programming patterns
Key Requirements
Minimum 5 years of data engineering experience
Hands-on experience with Databricks and Python
Proficiency in cloud environments like AWS or Azure