Intern DDIT APD D&A Enterprise Semantic Layer Engineering

Novartis AG; Hyderabad; On-site; INR 112,000 - 279,000; Part time

Job summary

Novartis AG in India seeks an Enterprise Semantic Layer Engineering Intern to help build data capabilities that enable trusted, connected, and AI-ready data across the organization. You will learn Enterprise Semantic Layer, Ontology Management, and Knowledge Graph concepts while collaborating with architects, engineers, and business teams to deliver scalable, governed data solutions.

You will gain hands-on exposure to Metadata, Data Catalog, Data Quality, and MDM integrations, plus API-based

Qualifications

• Pursuing a B.E./B.Tech in CS/IT/AI or related field.
• Strong analytical and problem-solving abilities.
• Passion for learning data, AI, and governance technologies.

Responsibilities

• Support Enterprise Semantic Layer and Ontology Management platforms.
• Contribute to semantic modelling, metadata management, and data discoverability.
• Assist in API-based integrations and platform engineering initiatives.
• Support testing, documentation, and operational excellence activities.
• Contribute to AI/GenAI-powered metadata management use cases.

Skills

Semantic Layer

Ontology Management

Knowledge Graph

Data Governance

Education

B.E./B.Tech in CS/IT/AI/Electronics/Data Science

Tools

Centree

Job description

Intern DDIT APD D&A Enterprise Semantic Layer Engineering

India

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.

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.

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.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

IN10 (FCRS = IN010) Novartis Healthcare Private Limited