Not specified; not specified; competitive pyy with...
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8+ years data engineering experience
Production-grade pipeline architecture
Etl/elt design patterns
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S&P Global is seeking a Senior Analyst in Data Integration & Workflows to lead the design and implementation of data pipelines and workflow automation within their Data AI & Enablement organization. The role requires extensive technical expertise, leadership abilities, and a focus on operational excellence in delivering scalable and reliable data solutions.
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Job Summary
This role serves as a senior technical leader responsible for designing and operationalizing production-grade data pipelines that power S&P Dow Jones Indices' analytical solutions.
The position requires extensive hands-on enablement of subject matter experts through pair programming, code reviews, and the development of reusable automation components.
Candidates must ensure all delivered solutions meet enterprise standards for quality, reliability, and maintainability while fostering a culture of engineering excellence.
Matching Summary
Match Score: 75
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S&P Global is seeking a Senior Analyst in Data Integration & Workflows to lead the design and implementation of data pipelines and workflow automation within their Data AI & Enablement organization. The role requires extensive technical expertise, leadership abilities, and a focus on operational excellence in delivering scalable and reliable data solutions.
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Salary
Not specified; Not specified; Competitive pay with retirement planning and education programs
Skills & Requirements
Must-have
8+ years data engineering experience
Production-grade pipeline architecture
ETL/ELT design patterns
Python and SQL proficiency
Workflow orchestration frameworks
Data quality and validation controls
Technical leadership and mentoring
Nice-to-have
Index calculation process knowledge
Agile/Scrum methodology experience
Data lineage and cataloging tools
AI/ML pipeline integration patterns
Financial services domain expertise
Strong stakeholder management skills
Continuous improvement mindset
Key Requirements
Bachelor's degree in Computer Science or related field
Master's degree preferred
8+ years in data engineering roles
3+ years in technical leadership
Experience in financial services or index management