Job Description Summary

Job Description

What You’ll Do

As an Enterprise Semantic Layer & Data Platforms Engineering Intern, you will help build enterprise data capabilities that enable trusted, connected, and AI-ready data across the organization.

• Support the development of Enterprise Semantic Layer and Ontology Management platforms, including solutions such as Centree.
• Contribute to semantic modelling, metadata management, and knowledge management capabilities that improve data discoverability and interoperability.
• Assist in integrating Metadata, Data Catalog, Data Quality, and Master Data Management (MDM) platforms.
• Participate in API-based integrations, automation, and platform engineering initiatives.
• Support platform testing, validation, documentation, and operational excellence activities.
• Contribute to AI/GenAI-powered use cases for metadata management, semantic modelling, and data governance.
• Assist in innovation, proof-of-concepts (POCs), and modernization initiatives.
• Collaborate with architects, engineers, and business teams to deliver scalable and governed data solutions.

What You’ll Learn

·       Enterprise Semantic Layer, Ontology Management, and Knowledge Graph concepts.

·       Metadata, Data Quality, Data Catalog, and MDM platform integration.

·       API-based integration, automation, and cloud platform engineering.

·       AI/GenAI-driven approaches for metadata management and semantic modelling.

·       Enterprise data governance, architecture, and scalable platform design.

·       Agile delivery and collaboration within global data and analytics teams.

Who We’re Looking For

·       Pursuing a B.E./B.Tech degree in Computer Science, Information Technology, Artificial Intelligence, Electronics, Data Science, or a related discipline.

·       Strong analytical and problem-solving skills.

·       Passion for learning modern data, AI, and governance technologies.

·       Strong communication and collaboration skills.

·       Ability to thrive in a fast-paced, agile, team-oriented environment.

·       Interest in data platforms, semantic technologies, integrations, automation, and AI-driven solutions.

·       Participation in hackathons, research, innovation challenges, or open-source projects is a plus.

What We Offer

·       Hands-on experience with enterprise-scale Data & Analytics platforms.

·       Exposure to Semantic Layer, Ontology Management, Knowledge Graphs, and Data Governance solutions.

·       Practical experience integrating Metadata, Data Catalog, Data Quality, and MDM platforms.

·       Experience with APIs, automation, cloud platforms, and platform engineering.

·       Opportunity to work on AI and GenAI-driven innovations.

·       Mentorship from experts in Data Architecture, Platform Engineering, and Data Governance.

·       Experience working in a global, agile, and collaborative environment.

Understanding of how modern data platforms enable trusted, governed, and connected enterprise data ecosystems.

Skills Desired