About the Role:

Grade Level (for internal use):

The Team: As a member of the EDO Collection Platforms & AI Cognitive Engineering team you will build and maintain enterprisescale data extraction automation and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will learn to design resilient production-ready systems in an AWS-based ecosystem while leading by example in a highly engaging global environment that encourages thoughtful risk-taking and self-initiative.

Whats in it for you:

• Be part of a global company and deliver solutions at enterprise scale
• Collaborate with a hands-on technically strong team (including leadership)
• Solve high-complexity high-impact problems end-to-end
• Build test deploy and maintain production-ready pipelines from ideation through deployment

Responsibilities:

• Develop deploy and operate data extraction and automation pipelines in production
• Integrate and deploy machine learning models into those pipelines (e.g. inference services batch scoring)
• Lead critical stages of the data engineering lifecycle including:
  • End-to-end delivery of complex extraction transformation and ML deployment projects
  • Scaling and replicating pipelines on AWS (EKS ECS Lambda S3 RDS)
  • Designing and managing DataOps processes including Celery/Redis task queues and Airflow orchestration
  • Implementing robust CI/CD pipelines on Azure DevOps (build test deployment rollback)
  • Writing and maintaining comprehensive unit integration and end-to-end tests (pytest coverage)
• Strengthen data quality reliability and observability through logging metrics and automated alerts
• Define and evolve platform standards and best practices for code testing and deployment
• Document architecture processes and runbooks to ensure reproducibility and smooth hand-offs
• Partner closely with data scientists ML engineers and product teams to align on requirements SLAs and delivery timelines

Technical Requirements:

• Expert proficiency in Python including building extraction libraries and RESTful APIs
• Hands-on experience with task queues and orchestration: Celery Redis Airflow
• Strong AWS expertise: EKS/ECS Lambda S3 RDS/DynamoDB IAM CloudWatch
• Containerization and orchestration: Docker (mandatory) basic Kubernetes (preferred)
• Proven experience deploying ML models to production (e.g. SageMaker ECS Lambda endpoints)
• Proficient in writing tests (unit integration load) and enforcing high coverage
• Solid understanding of CI/CD practices and hands-on experience with Azure DevOps pipelines
• Familiarity with SQL and NoSQL stores for extracted data (e.g. PostgreSQL MongoDB)
• Strong debugging performance tuning and automation skills
• Openness to evaluate and adopt emerging tools and languages as needed

Good to have:

• Bachelors degree in Computer Science Engineering or related field
• 1 year of relevant experience in data engineering automation or ML deployment
• Prior contributions on GitHub technical blogs or open-source projects
• Basic familiarity with GenAI model integration (calling LLM or embedding APIs)

Location: Location: Mexico City (2 days onsite)

Grade: 8

Whats In It For You

Our Mission:

Advancing Essential Intelligence.

Our People:

Were more than 35000 strong worldwideso were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. Were committed to a more equitable future and to helping our customers find new sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity Discovery Partnership

Throughout our history the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do bring a spirit of discovery to our work and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.

Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.

• Flexible Downtime: Generous time off helps keep you energized for your time on.

• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

• Invest in Your Future: Secure your financial future through competitive pay retirement planning a continuing education program with a company-matched student loan contribution and financial wellness programs.

• Family Friendly Perks: Its not just about you. S&P Global has perks for your partners and little ones too with some best-in class benefits for families.

• Beyond the Basics: From retail discounts to referral incentive awardssmall perks can make a big difference.

For more information on benefits by country visit: Hiring and Opportunity at S&P Global:

At S&P Global we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills experience and contributions. Our hiring practices emphasize fairness transparency and merit ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a domain or any other regionally based domains it is a scam and should be reported to. S&P Global never requires any candidate to pay money for job applications interviews offer letters pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines fraudulent domains and how to report suspicious activityhere.

Required Experience:

IC