About the job
About the Role: As a ML Data Engineer at S&P Global, you will utilize your extensive technical skills to build, and maintain our evolving data infrastructure. Responsibilities: • Collaborate with stakeholders to understand and refine requirements related to data processing. • Design, construct, install, and maintain large-scale processing systems. • Build high-performance algorithms, prototypes, and conceptual models. • Ensure compliance, privacy, and security standards are met. Requirements: • 3-6+ years of programming experience, particularly in Python. • Experience with SQL or NoSQL databases. • Strong analytical and problem-solving skills. What’s In It For You? • Health & Wellness: Health care coverage designed for the mind and body. • Flexible Downtime: Generous time off helps keep you energized. • Continuous Learning: Access to resources to grow your career.
Requirements
- Python
- SQL
- data infrastructure
Qualifications
- 3-6+ years programming experience
- Experience with SQL/NoSQL
Preferred Technologies
- Python
- SQL
- data infrastructure
Benefits
- Health care coverage
- Flexible downtime
- Continuous learning
About the company
S&P Global provides trusted data, expertise, and technology to enable businesses and individuals to make decisions with conviction.
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