Data Engineer

About The Role

Grade Level (for internal use):

09

The Team: As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will build and maintain enterprise‐scale 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.

What’s 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

• Master's or Bachelor's degree in Computer Science, Engineering, or related field
• 2-6 years 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)
  
  

What’s In It For You?

Our Purpose

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People

We're more than 35,000 strong worldwide—so we're 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 all.

From 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. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's 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 can take care of business. We care about our people. That’s why we provide everything you—and your career—need 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: It’s 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 awards—small perks can make a big difference.
  
  

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring And Opportunity At S&P Global

At S&P Global, we are committed to fostering a connected and engaged 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 spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. 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 activity here.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. 

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

IFTECH202.1 - Middle Professional Tier I (EEO Job Group)

Job ID: 317425

Posted On: 2025-07-01

Location: Gurgaon, Haryana, India