NovartisIntern DDIT APD D&A Enterprise Semantic Layer Engineering
Novartis is hiring an Intern DDIT APD D&A Enterprise Semantic Layer Engineering in Hyderabad, India. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Centree, semantic modeling and metadata management among its tools and skills.
- Level classes it as an internship.
- Novartis has 864 other open roles on Level.
- This posting went up in the last few days.
AI in this role
Build enterprise data capabilities including semantic layers, knowledge graphs, and AI-ready metadata platforms as an intern.
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
How we rate this
Intern DDIT APD D&A Enterprise Semantic Layer Engineering at Novartis rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where semantic modeling was part of your work. What did you do?
- Tell me about a project where metadata management was part of your work. What did you do?
- Tell me about a project where knowledge graph was part of your work. What did you do?
- Tell me about a project where mdm was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Semantic Modeling, Metadata Management, Knowledge Graph, Mdm, and Data Governance. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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