Not specified; not specified; competitive pyy + re...
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Python programming expertise
Databricks platform experience
Postgresql database design
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S&P Global is seeking a Data Engineer to join their EDO, Collection Platforms & AI team, focusing on building and maintaining enterprise-scale data processing pipelines in an AWS-based environment. The ideal candidate will have extensive experience in data engineering, especially with Python, Databricks, and SQL, and will contribute to innovative data solutions that drive significant business impact.
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Job Summary
You will build and maintain enterprise-scale data processing pipelines that power critical data sourcing and machine learning solutions within an AWS-based ecosystem.
The role offers the opportunity to take ownership of solving complex, high-impact data challenges from end-to-end while collaborating with a technically strong global team.
S&P Global provides comprehensive benefits including health care coverage, generous time off, continuous learning resources, and financial wellness programs for its worldwide workforce.
Matching Summary
Match Score: 75
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S&P Global is seeking a Data Engineer to join their EDO, Collection Platforms & AI team, focusing on building and maintaining enterprise-scale data processing pipelines in an AWS-based environment. The ideal candidate will have extensive experience in data engineering, especially with Python, Databricks, and SQL, and will contribute to innovative data solutions that drive significant business impact.
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Salary
Not specified; Not specified; Competitive pay and retirement planning included
Skills & Requirements
Must-have
Python programming expertise
Databricks platform experience
PostgreSQL database design
ETL/ELT process development
CI/CD pipeline implementation
Nice-to-have
AWS services proficiency
GenAI API integration
Open-source contributions
MLOps lifecycle understanding
Technical blog or GitHub profile
Key Requirements
Bachelor's degree in computer science or related field
4+ years of professional data engineering experience