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