Data Specialist

S&P Global, Inc.; Gurugram District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

S&P Global, Inc. is seeking a Data Steward to execute core data stewardship activities, ensuring accuracy, integrity, and governance of enterprise data assets. You will manage data lineage, metadata, and compliance while supporting UAT for database changes and product distribution.

The role emphasizes data validation across large datasets, collaboration with Technology and Data Operations, and contributing to automation and AI-enabled improvements to enhance data quality and efficiency.

Qualifications

• 4+ years of relevant experience in data, analytics, operations, or related functions.
• Strong data governance and quality controls and ownership models.

Responsibilities

• Perform data validation, lineage tracking, and metadata updates to ensure data quality and traceability.
• Ingest, validate, and integrate data per governance standards.
• Support vendor data reviews and onboarding with data quality assessments.
• Maintain stewardship documentation and process artifacts for accuracy.
• Collaborate with Tech to resolve data issues and support UAT.

Skills

Python

SQL

PySpark

Databricks

AWS

AI/ML workflows

Metadata management

Data lineage

Data quality

Data governance

UAT support

Tools

Databricks notebooks

Job description

About the Role:

Grade Level (for internal use): 09 Role Scope Data Steward is an individual contributor role responsible for executing core data stewardship activities that ensure the accuracy, integrity, and governance of enterprise data assets. The Data Steward manages end‑to‑end lineage monitoring, maintains high‑quality metadata, enforces policy and control compliance, and supports UAT for database changes and product distribution. Within the European Gas and Power Data team, the role supports the controlled transition of source data into internal databases and downstream delivery pipelines, ensuring raw data is validated, reconciled, transformed, and quality checked before it is made available to internal SMEs and external clients. The role performs detailed data validation, vendor data reviews, and works closely with Technology and Data Operations teams to resolve issues and maintain consistent data standards across systems. Additionally, the Data Steward contributes to process improvement by driving standardization, enhancing documentation, and supporting the adoption of automation and AI‑enabled capabilities to improve data quality, reduce manual effort, and strengthen operational efficiency. We are looking for a process‑orientated, methodological thinker with a keen eye for detail. Someone who enjoys dealing with large sets of data and problem solving.

What You’ll Do (Key Responsibilities)

• Operational Delivery Perform data validation checks, lineage tracking, and metadata updates to maintain data quality, integrity, and traceability.
• Execute data ingestion, validation, and integration activities in alignment with governance and control standards.
• Ensure consistent adherence to enterprise data policies and governance frameworks.
• Execute defined controls and compliance requirements to safeguard data integrity and lineage.
• Support vendor data reviews and onboarding through data quality assessments, validation checks, and issue resolution.
• Maintain data standardization, stewardship documentation, and process artifacts to ensure accuracy and consistency.
• Execute medium‑complexity stewardship and validation tasks under established guidelines, escalating exceptions when required.
• Respond to client data queries, resolving issues and coordinating issue triage with Operations and Client Services teams.
• Collaborate with Technology teams on defect resolution, enhancement requests, and UAT for backend data and dataflow changes.
• Contribute to automation and AI‑enabled improvements that enhance efficiency and strengthen stewardship capabilities.
• Investigate, validate, troubleshoot, and support controlled updates to transformation scripts, data quality rules, and pipeline logic using Python, SQL and PySpark, ensuring automated processes continue to run to schedule producing accurate outputs.
• Support onboarding of new datasets required by SMEs by reviewing source structures, validating expected outputs, identifying data quality risks, and coordinating required pipeline or source data changes within the existing architecture.
• Process Excellence Support User Acceptance Testing (UAT) by validating data, coordinating test execution, and assisting with defect identification and resolution.
• Ensure adherence to governance, data management standards, and operating procedures by following defined controls and compliance requirements.
• Maintain high‑quality documentation by updating process flows, data definitions, data dictionaries, and other stewardship artifacts to ensure audit readiness and operational clarity.

Stakeholder Management

• Collaborate with Data Operations and Technology teams to support governance activities, quality controls, source amendments, validation outcomes and issue remediation while serving as a key liaison between governance expectations and day‑to‑day execution.
• Support Product and Technology teams by assisting with data requirements, validations, and operational coordination throughout change cycles.
• Assist with vendor data reviews by conducting data quality checks, performing validations, and coordinating onboarding processes.

How Impact Will Be Measured (Success Metrics)

• Data accuracy and integrity - Maintain high accuracy rates through consistent validation, timely corrections, and adherence to defined quality thresholds.
• SLA and turnaround adherence - Meet or exceed service‑level timelines for data updates, validations, issue resolution, and stakeholder responses.
• Documentation completeness and currency - Keep process documentation, data dictionaries, lineage records, and stewardship artifacts up‑to‑date, audit‑ready, and fully aligned with governance standards.
• Pipeline quality and delivery - Ensure transformation scripts, database workflows, quality checks, and scheduled processes run successfully, with failures investigated, validated, resolved, or coordinated through to closure in line with operational priorities.

For This Role You'll Need to Have (Skills & Competencies)

Technical Skills

• Intermediate Python scripting skills, including the ability to investigate, maintain, debug, and support controlled updates to transformation logic, automation scripts, and data quality checks.
• Intermediate SQL capability to query, reconcile, transform, validate, and troubleshoot data across relational databases and pipeline outputs.
• Hands‑on experience with PySpark or distributed data processing to support investigation, validation, reconciliation, and quality checks across large or complex datasets.
• Working knowledge of Databricks, including notebooks, jobs, clusters, and pipeline monitoring, would be advantageous.
• Understanding of cloud computing, preferably AWS.
• Working knowledge of AI/ML workflows.
• Works with metadata management and lineage tools to maintain data transparency and trace end‑to‑end data flows.
• Possess foundational familiarity with BI tools and dashboards to review outputs and identify data anomalies.

Functional Skills

• Possesses solid domain and process understanding
• Understands data governance fundamentals, including data quality controls, stewardship roles, and ownership models.
• Supports data standardization by applying consistent data definitions, formats, and controlled processes.
• Has working knowledge of data ingestion, transformation, validation, reconciliation, and integration workflows, with the ability to investigate pipeline failures, check source‑to‑target accuracy, support root cause resolution, and coordinate remediation actions.
• Collaborate with cross‑functional teams to understand their data requirements/issues and generate innovative ideas and solutions.

Behavioral Skills

• Demonstrates strong attention to detail, ensuring accuracy in data, documentation, and validation activities, functional teams cause analysis.
• Communicates clearly and collaborates effectively with cross functional teams including Technology, Operations, Product, and Vendor partners.
• Applies analytical mindset, critical thinking & creative problem solving to build solutions for business problems and while investigating data issues and remediation through root cause analysis.
• Demonstrates learning agility, digital acumen, initiative, and ownership in data stewardship activities, adapting to evolving tools and technologies while working effectively through ambiguity to investigate issues, and support timely delivery against operational priorities.

Preferred Education & Experience

4+ years of relevant experience in data, analytics, operations, or related functions.

Key Interfaces & Stakeholders

Partner with Data Operations and SMEs on data risk, quality checks, and issue resolution.

Coordinate with Tech teams on data issues, enhancements, and UAT activities.

Support Product teams with data requirements and validation.

Ensure alignment with governance and compliance standards.

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.

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:

• 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 [e-mail]. 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: [e-mail] your request will be forwarded to the appropriate person.

US Candidates Only: Know Your Rights: Workplace discrimination is illegal

20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

This is the site for former colleagues whose roles have been impacted by organizational changes to search for job opportunities with S&P Global. We are committed to providing impacted team members priority consideration for new opportunities. When applying, please create a login with your personal email address and select Redeployment in the section: “How did you hear about us?”.