India Knowledge engineer semantic web technologies Jobs – 113 Open Jobs Today

Knowledge Graph Engineer
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- Full-time
- Azure
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- Hybrid work
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- Java
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YouTube —Bengaluru, Karnataka
- Full-time
- Computer Science
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11d
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Seismic —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
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Senior Data Engineer
Mindera —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Master's degree
- Databases
- SQL
- Flexible schedule
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Graph Engineer, Data Context Layer
MSD —Hyderabad, Telangana
- Full-time
- Databases
- AWS
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Google Looker Consultant
KnowledgeSynonyms Consulting P Ltd —Remote
- ₹2,000 - ₹2,500 an hour
- Remote
- Computer Science
- SQL
- AWS
- Work from home
Quick apply
4d
Web App Developer
Cushman & Wakefield —Mumbai, Maharashtra
- Full-time
- Azure
- DevOps
- Master's degree
Quick apply
Data Engineer - Sr Analyst
Deloitte —Hyderabad, Telangana
- Azure
- Computer Science
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Expert Software Engineer
CSC (Corporation Service Company) —Bengaluru, Karnataka
- Full-time
- Azure
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13d
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AvyaTech —Noida, Uttar Pradesh
- Full-time
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10d
Software Engineer II
R1 RCM, Inc. —Noida, Uttar Pradesh
- Full-time
- Azure
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Senior Software Engineer, ITC
Nike —Bengaluru Urban District, Karnataka
- Full-time
- Computer Science
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5d
Senior Quality Automation Engineer
Anandorja —Vadodara, Gujarat
- JavaScript
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Python Fullstack Gen AI
UST —Bengaluru, Karnataka
- Azure
- Computer Science
- DevOps
Quick apply
Product Engineer
Allica Bank —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Master's degree
- Databases
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Senior AI/ML Engineer
Optum —Bengaluru, Karnataka
- Full-time
- Data analysis skills
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Sr. Web Developer (Full Stack)
Mastercard —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
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IT Developer
Medtronic —Nanakramguda, Hyderabad, Telangana
- Full-time
- Oracle
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Knowledge Graph Engineer

Siemens -
Pune, Maharashtra

Apply Now

Job details

Permanent | Full-time

Qualifications

Ontology
Azure
Computer Science
Relational databases
Software deployment
Information Systems
SPARQL
Taxonomy
Master's degree
Databases
SQL
AWS
Bachelor's degree
Neo4j
RDF
Semantic Web
Linked data
APIs
Data science
Metadata
AI
Graph databases
Python
Data Science

Full job description

Title : Knowledge Graph Engineer

Position Summary

We are building a connected enterprise knowledge layer that unifies structured and unstructured data across business systems and enables intelligent search, contextual retrieval, semantic reasoning, and AI-driven workflows. In this role, you will design and implement scalable knowledge graph solutions that model business entities, relationships, and domain logic to support advanced analytics, semantic applications, and next-generation AI use cases. This is a hands-on engineering role spanning graph modeling, ontology development, semantic enrichment, and enterprise data integration.

How You’ll Make an Impact (Responsibilities of Role)

Knowledge Graph Design & Engineering

Design scalable knowledge graph schemas using property graph and/or RDF-based models.
Develop and optimize graph queries using Cypher, SPARQL, or Gremlin.
Model business entities, relationships, hierarchies, and context across domains.
Build ingestion pipelines to transform enterprise data into graph structures.

Semantic Modeling & Ontology Development

Create and maintain ontologies, taxonomies, and semantic models.
Define canonical entity models and semantic mappings across data sources.
Establish semantic validation, consistency standards, and data quality checks.
Support ontology lifecycle management and schema evolution.

Data Integration & Semantic Enrichment

Collaborate with engineering teams to ingest, transform, and enrich enterprise data.
Support entity resolution, metadata enrichment, and relationship extraction.
Enable semantic search, intelligent assistants, and knowledge-driven workflows.

APIs, Collaboration & Platform Enablement

Design and support graph APIs and semantic access layers.
Partner with product, architecture, security, and domain teams on graph solutions.
Document graph modeling standards, patterns, and best practices.

Quality, Governance & Performance

Optimize query performance, indexing, and traversal efficiency.
Contribute to metadata, lineage, governance, and access control practices.
Ensure graph solutions are scalable, secure, and aligned with enterprise data standards.

What You Bring (Required Qualifications and Skill Sets)

Bachelor’s/master’s degree in computer science, Data Science, Engineering, Information Systems, Mathematics, or a related field.
5–7 years of experience in knowledge graph engineering, graph databases, semantic modeling, ontology engineering, or related data architecture roles.
Strong hands-on experience with at least one graph platform such as Neo4j, AWS Neptune, Stardog, TigerGraph, GraphDB, or similar technologies.
Proficiency in graph query languages such as Cypher, SPARQL, or Gremlin.
Experience designing graph schemas, semantic data models, taxonomies, and ontology-aligned structures for enterprise use cases.
Good understanding of knowledge graphs, RDF, OWL, semantic web concepts, ontology design, and linked data principles.
Experience integrating enterprise data from sources such as relational databases, APIs, document repositories, cloud platforms, and business applications.
Strong skills in Python and SQL for data transformation, graph ingestion, enrichment, and query support.
Familiarity with data governance, metadata management, lineage, access control, and enterprise data quality practices.
Ability to work cross-functionally with engineers, architects, business stakeholders, and domain experts to translate business concepts into scalable graph models.

Preferred Qualifications

Experience with ontology tools such as Protégé and semantic validation frameworks such as SHACL or similar approaches.
Exposure to inference, reasoning engines, rule-based modeling, or semantic constraint design.
Experience building enterprise knowledge graphs for semantic search, AI copilots, document intelligence, workflow automation, or recommendation engines.
Familiarity with vector search, RAG, hybrid graph + AI architectures, or semantic retrieval patterns.
Exposure to cloud environments such as AWS, Azure, or GCP in support of graph deployment and enterprise integration.
Understanding of observability, graph query tuning, and semantic layer performance monitoring is a plus.

Apply Now

Refine Your Search

knowledge engineer semantic web technologies jobs in india

Knowledge Graph Engineer

Software Engineer

QA Engineer

Web Solutions Engineer, Technology and Insights Partnership Systems

Software Engineer I - Backend - AI Interfaces

Senior Data Engineer

Graph Engineer, Data Context Layer

Google Looker Consultant

Web App Developer

Data Engineer - Sr Analyst

Expert Software Engineer

AI Agentic Engineer / AI Developer (Immediate Joiner)

Software Engineer II

Senior Software Engineer, ITC

Senior Quality Automation Engineer

Python Fullstack Gen AI

Product Engineer

Senior AI/ML Engineer

Sr. Web Developer (Full Stack)

IT Developer

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