Intern DDIT APD D&A Enterprise Semantic Layer Engineering

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