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KNOWLEDGE ENGINEER – DATABRICKS & AI

Vrinda International

Job Location:

Bengaluru - India

Monthly Salary: L 17 - 17

Experience Required: 6-8years

Posted: 2 September 2026 (Yesterday)

Application Deadline: 30 November 2026

Vacancies: 1 Vacancy

Job Summary

HIRING KNOWLEDGE ENGINEER DATABRICKS & AI

Location: Bengaluru

Experience: 6-8 years

Role: Knowledge Engineer / Associate Manager

Work Mode: Work From Office

CTC : 17 LPA

ROLE OVERVIEW

We are looking for an experienced Knowledge Engineer to build enterprise-scale Knowledge Graph Semantic Layer Ontology & AI solutions using Databricks and modern AI technologies.

MUST-HAVE SKILLS

Databricks Unified Data Analytics Platform

3 yrs Knowledge Graph technologies RDF SPARQL OWL SHACL LPG

Ontology taxonomy semantic & schema modeling

Neo4j / Stardog / Amazon Neptune or equivalent

Python SQL Spark/PySpark

Data pipelines Delta Lake & Unity Catalog

Vector Search RAG & LLM grounding

NLP entity extraction & semantic search

Team/workstream leadership experience

KEY RESPONSIBILITIES

Design scalable Knowledge Graph and semantic AI solutions

Build Databricks lakehouse pipelines vector search & RAG solutions

Develop ontologies schemas taxonomies and knowledge services

Collaborate with architects AI engineers data teams & business stakeholders

Lead technical workstreams and mentor engineers

Support solution shaping pre-sales and client engagements

Good to have: Cloud (AWS/Azure/GCP) Databricks certifications Agentic AI & domain experience.

Required Skills:

MUST-HAVE SKILLS Databricks Unified Data Analytics Platform 3 yrs Knowledge Graph technologies RDF SPARQL OWL SHACL LPG Ontology taxonomy semantic & schema modeling Neo4j / Stardog / Amazon Neptune or equivalent Python SQL Spark/PySpark Data pipelines Delta Lake & Unity Catalog Vector Search RAG & LLM grounding NLP entity extraction & semantic search Team/workstream leadership experience

Required Education:

Bachelors Degree (MBA Preferred)

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