Job Description

:
About the Role:
Grade Level (for internal use): 10
The Team: As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team, you will design, build, and optimize enterprise-scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will help define architecture standards, mentor junior engineers, and champion best practices in an AWS-based ecosystem. You'll lead by example in a highly engaging, global environment that values thoughtful risk-taking and self-initiative.
What's in it for you:

• Drive solutions at enterprise scale within a global organization
• Collaborate with and coach a hands-on, technically strong team (including junior and mid-level engineers)
• Solve high-complexity, high-impact problems from end to end
• Shape the future of our data platform-build, test, deploy, and maintain production-ready pipelines

Responsibilities:

• Architect, develop, and operate robust data extraction and automation pipelines in production
• Integrate, deploy, and scale ML models within those pipelines (real-time inference and batch scoring)
• Lead full lifecycle delivery of complex data projects, including:

• Designing cloud-native ETL/ELT and ML deployment architectures on AWS (EKS/ECS, Lambda, S3, RDS/DynamoDB)
• Implementing and maintaining DataOps processes with Celery/Redis task queues, Airflow orchestration, and Terraform IaC
• Establishing and enforcing CI/CD pipelines on Azure DevOps (build, test, deploy, rollback) with automated quality gates
• Writing and maintaining comprehensive test suites (unit, integration, load) using pytest and coverage tools
• Optimize data quality, reliability, and performance through monitoring, alerting (CloudWatch, Prometheus/Grafana), and automated remediation
• Define-and continuously improve-platform standards, coding guidelines, and operational runbooks
• Conduct code reviews, pair programming sessions, and provide technical mentorship
• Partner with data scientists, ML engineers, and product teams to translate requirements into scalable solutions, meet SLAs, and ensure smooth hand-offs

Technical Requirements:

• 4-8 years' hands-on experience in data engineering, with proven track record on critical projects
• Expert in Python for building extraction libraries, RESTful APIs, and automation scripts
• Deep AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch, and Terraform
• Containerization and orchestration: Docker (mandatory) and Kubernetes (advanced)
• Proficient with task queues and orchestration frameworks: Celery, Redis, Airflow
• Demonstrable experience deploying ML models at scale (SageMaker, ECS/Lambda endpoints)
• Strong CI/CD background on Azure DevOps; skilled in pipeline authoring, testing, and rollback strategies
• Advanced testing practices: unit, integration, and load testing; high coverage enforcement
• Solid SQL and NoSQL database skills (PostgreSQL, MongoDB) and data modeling expertise
• Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack)
• Excellent debugging, performance-tuning, and automation capabilities
• Openness to evaluate and adopt emerging tools, languages, and frameworks

Good to have:

• Master's or Bachelor's degree in Computer Science, Engineering, or a related field
• Prior contributions to open-source projects, GitHub repos, or technical publications
• Experience with infrastructure as code beyond Terraform (e.g., CloudFormation, Pulumi)
• 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:
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 . 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 .
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: and your request will be forwarded to the appropriate person.
US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision -
IFTECH202.1 - Middle Professional Tier I (EEO Job Group)
Job ID: 317427
Posted On: 2025-07-01
Location: Gurgaon, Haryana, India