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Novartis Hiring for Intern DDIT APD D&A Enterprise Semantic Layer Engineering | Freshers

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B.E./B.Tech degree in Computer Science, Information Technology, Artificial Intelligence, Electronics, Data Science, or a related discipline

Hyderabad

Freshers

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Novartis is inviting applications for the Intern – DDIT APD D&A Enterprise Semantic Layer Engineering position in Hyderabad. The role focuses on enterprise data platforms, semantic modelling, ontology management, metadata integration, automation, and AI/GenAI-powered data governance solutions.

Candidates pursuing a B.E./B.Tech degree in Computer Science, Information Technology, Artificial Intelligence, Electronics, Data Science, or a related discipline can apply.

Job Details

ParticularsDetails
CompanyNovartis
Job TitleIntern – DDIT APD D&A Enterprise Semantic Layer Engineering
Job IDREQ-10090205
Job LocationHyderabad, Telangana
Work TypeFull-time
QualificationPursuing B.E./B.Tech in a relevant discipline
Application DeadlineOctober 21, 2026
Application ModeOnline

Position: Intern – Enterprise Semantic Layer Engineering

The selected intern will support the development of enterprise data capabilities that enable trusted, connected, and AI-ready data across the organisation.

The role involves working with semantic layer platforms, ontology management, metadata systems, data quality, master data management, APIs, cloud platforms, and AI-driven data governance initiatives.

Apply Online: Novartis Enterprise Semantic Layer Engineering Internship

Responsibilities

  • 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.
  • Assist with 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.
  • Contribute to AI/GenAI-powered use cases for metadata management, semantic modelling, and data governance.
  • Assist with proof-of-concepts, innovation, and platform modernisation initiatives.
  • Collaborate with architects, engineers, and business teams to deliver scalable, governed data solutions.
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Eligibility and Qualifications

Candidates should meet the following requirements:

  • Currently 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.
  • Interest in modern data platforms, semantic technologies, integrations, automation, and AI-driven solutions.
  • Strong communication and collaboration skills.
  • Ability to work in a fast-paced, agile, team-oriented environment.
  • Passion for learning data, AI, and governance technologies.

Participation in hackathons, research, innovation challenges, or open-source projects is an added advantage.

Required Skills and Technical Areas

The role focuses on the following technical areas:

  • Enterprise Semantic Layer and Ontology Management
  • Semantic Modelling and Knowledge Graphs
  • Metadata Management and Data Catalogs
  • Data Quality and Master Data Management (MDM)
  • API Integration and Automation
  • Cloud Platform Engineering
  • AI and Generative AI (GenAI)
  • Data Governance and Platform Engineering

What the Internship Offers

According to the job description, the internship provides:

  • Hands-on experience with enterprise-scale Data & Analytics platforms.
  • Exposure to semantic layers, 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.
  • Opportunities to contribute to AI/GenAI-driven innovations.
  • Mentorship from experts in Data Architecture, Platform Engineering, and Data Governance.
  • Experience working in a global, agile, collaborative environment.
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APPLICATION DETAILS

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