About the Role:

Grade Level (for internal use):

12

The Team

The Data Lake team is responsible for designing, building, and governing the enterprise Data Lake for the Ratings division. The team develops state-of-the-art data engineering pipelines that support data ingestion, curation, and advanced analytics.

With deep expertise across critical data domains, modern technology stacks, and architectural patterns, the team delivers cross-cloud data engineering solutions and scalable, self-service data products. It fosters a culture of collaboration and knowledge sharing, enabling a unified and forward-looking data strategy across the organization.

The Impact

As part of the Ratings Organization’s Data Services Product Engineering team, you will play a key role in shaping and advancing the next-generation data and analytics platform.

This is a high-impact opportunity to contribute to the design and evolution of a modern, scalable, and business-critical data ecosystem that powers analytics, insights, and data-driven decision-making across the organization.

Our Hiring Manager Says

We are seeking a highly skilled and hands-on data engineer with a proven track record of delivering large-scale data initiatives. The ideal candidate brings deep expertise in data lake architectures, strong technical acumen, and experience driving transformational data programs that deliver measurable business value.

If you are passionate about building modern data platforms and thrive in a fast-paced, innovation-driven environment, this role offers an excellent opportunity to make a meaningful impact.

Key Responsibilities:

• Lead and manage data engineering teams, providing technical direction, mentoring, and ensuring high-quality, timely delivery of data initiatives.

• Design, build, and optimize scalable batch and real-time data pipelines across enterprise systems and analytics platforms.

• Architect and implement modern data lake/lakehouse solutions on AWS (S3, EMR, Redshift), leveraging distributed processing frameworks such as Spark or Flink.

• Remain hands-on in development—contributing to critical pipeline design, performance tuning, troubleshooting, and code reviews.

• Partner with Data Science and Machine Learning teams to design and productionize feature engineering pipelines and data workflows supporting AI/ML use cases.

• Build and maintain highly available, reliable, and performant data platforms that ensure data accuracy, consistency, and low latency.

• Establish and enforce data engineering best practices, including coding standards, reusable frameworks, and metadata-driven pipeline design.

• Collaborate with enterprise architecture and data governance teams to align data platforms with organizational standards, canonical models, and domain-driven design principles.

• Design and implement scalable data integration patterns, including batch ingestion, streaming pipelines (e.g., Kafka), and Change Data Capture (CDC).

• Oversee the development and orchestration of pipelines using tools such as Airflow, Step Functions, or equivalent workflow engines.

• Drive performance optimization and cost efficiency across data platforms and cloud infrastructure.

• Evaluate and adopt emerging technologies in big data, cloud, and streaming to continuously improve platform capabilities.

• Collaborate with cross-functional teams—including product, analytics, and business stakeholders—to translate requirements into scalable technical solutions.

• Monitor and improve platform reliability through observability, alerting, and proactive issue resolution.

• Communicate architecture decisions, trade-offs, and progress effectively to both technical and non-technical stakeholders.

Required Qualifications:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.

• 10–14 years of experience in software engineering, with a strong foundation in system design, coding standards, and best practices.

• 8+ years of hands-on experience in data engineering, building scalable and reliable data platforms in enterprise environments.

• 4+ years of experience designing and implementing modern data lake and lake house architectures using AWS services such as S3, Redshift, EMR, Databricks and distributed processing frameworks (Hadoop, or Flink).

• Strong programming expertise in Python, Java, or Scala, with deep understanding of object-oriented design, functional programming concepts, and performance optimization.

• Proven experience managing AWS infrastructure in production environments, including EC2, S3, VPC, Lambda, CloudWatch, Route 53, and load balancing across multi-account setups.

• Experience with real-time and batch data integration technologies such as Kafka, along with schema evolution and event-driven architectures.

• Solid understanding of microservices architecture, containerization and orchestration frameworks, along with CI/CD and DevOps practices.

• Strong experience with at least one major cloud platform (AWS, Azure, or GCP), including designing secure, scalable, and cost-optimized data solutions.

• Deep knowledge of data modeling techniques (dimensional, normalized, and canonical models) and data warehousing concepts.

• Hands-on experience with data pipeline orchestration tools (e.g., Airflow, Step Functions, or similar) and metadata-driven framework design.

• Expertise in building high-performance, fault-tolerant ETL/ELT pipelines, including incremental processing, CDC (Change Data Capture), and data quality validation.

• Strong understanding of distributed systems, parallel processing, and large-scale data processing challenges.

• Experience implementing data governance, security, and compliance practices (e.g., data lineage, access control, PII handling).

• Proficiency in SQL with the ability to optimize complex queries for large datasets.

• Strong system design and architecture skills, with the ability to translate business requirements into scalable technical solutions.

• Experience working in Agile environments, delivering iterative, high-quality solutions.

• Excellent problem-solving skills with a proactive approach to identifying and resolving performance and scalability bottlenecks.

• Strong communication and leadership abilities, with a track record of mentoring engineers and collaborating effectively with cross-functional teams.

Nice-to-Have / Preferred Qualifications

• Experience with lake house technologies (e.g., Delta Lake, Iceberg, Hudi).

• Familiarity with streaming frameworks (Flink).

• Exposure to data observability and monitoring tools.

• Experience with Infrastructure as Code (Terraform, CloudFormation).

• Knowledge of ML/AI data pipelines and feature engineering workflows.

• Grade – 12

• Shift Time – 12 pm to 9 pm IST

• Location – Hyderabad

• Working Model – twice a week work from office

About S&P Global RatingsAt S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.

S&P Global Ratings is a division of S&P Global (NYSE: SPGI).  S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

For more information, visit www.spglobal.com/ratings

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

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. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership

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.

S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

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.

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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: Know Your Rights: Workplace discrimination is illegal

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10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)