Job Description Summary 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.
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