Intern DDIT APD D&A Enterprise Semantic Layer Engineering
Novartis India
Greater Hyderabad AreaFresher1h agovia LinkedIn
About the Role
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.
What You’ll Do
- 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.
Qualifications
- 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.