Graph Data Engineer

S&P Global

Graph Data Engineer building graph-powered data products for internal stakeholders at S&P Global. Collaborating with cross-functional teams to enhance AI systems and data accessibility.

Posted 4/28/2026full-timeGurugram • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudNeo4jNode.jsPythonSQL

About the role

Key responsibilities & impact

You will be helping build a graph solution that powers AI systems – In the day-to-day operations, you will be working with DTS BI Scrum team with the goal to develop cutting-edge Data Products for consumption of DTS data by our internal customers which include users from across DTS and the S&P Global Enterprise at all levels from senior leadership to individual users.
You will also drive Strategic Initiatives that enable us to deliver better products, faster and with world-class support.
With your acute investigation, troubleshooting and communication skills, you will be championing support best practices and improving our user’s experience.
Some of your areas of ownership will include: Graph database: Building knowledge graph and graph rag solutions for AI systems.
Write, test, and optimize graph queries for multi-hop traversal, path analysis, and aggregations.
Tune performance (indexes/constraints, query refactors, batching strategies) and improve reliability (idempotent loads, retry/backoff, backfills).
Guide leadership and team on Graph Database solutions and implementations.
Data Engineering: Data manipulations and transformations either applied in SQL or in Power BI (DAX/Power Query).
Maintain and update datasets in our Lakehouse/Warehouse.
Maintain data quality in reporting and crafted data.
Document data manipulations and transformations for use in data dictionary.
Collaboration, Communication and Creative: Work closely with the team, product owner, and other stakeholders to understand data requirements and translate them into technical solutions.
Collaborate with cross-functional teams to design and implement data-driven solutions.
Strong interpersonal skills with the ability to communicate expert information to non-experts.
Creativity in coming up with solutions around data and end user experience.
Innovation and Continuous Improvement: Stay updated with the latest trends and technologies in data tools and engineering.
Participate in the development of best practices and guidelines for data management and engineering.

Requirements

What you’ll need

5+ years professional experience as a data engineer or similar role
B.S. / M.S. in Computer Sciences or related field.
Knowledge across Graph databases (e.g. Neo4j, GraphDB).
Understanding of various graph models: Property graph modeling (nodes/relationships/properties) for Neo4j use cases.
RDF / semantic modeling (triples, vocabularies/ontologies) for GraphDB use cases.
Entity graph patterns: canonical entities, identity resolution, deduplication, survivorship rules.
Hypergraph-style modeling needs using patterns like relationship-as-node (when relationships require attributes, provenance, or n-ary semantics).
Experience in using Graph database in AI systems such as Graph RAG.
Knowledge of and around SQL.
Programing skills in coding languages specifically for data such as Python.
Familiarity with cloud data platforms (e.g., AWS, Azure, Google Cloud).
Knowledge of data lake warehousing concepts and tools (e.g., Snowflake, Databricks, MS Fabric).
Open to working flexible hours as per business needs.

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

graph databasesSQLPythondata manipulationdata transformationgraph queriesperformance tuningdata qualitydata dictionarydata warehousing

Soft Skills

communicationinterpersonal skillscreativitycollaborationtroubleshootinginvestigationinnovationcontinuous improvementleadership guidancestakeholder engagement

Certifications

B.S. in Computer SciencesM.S. in Computer Sciences