KNOWLEDGE ENGINEER – DATABRICKS & AI

Vrinda International

Bengaluru

On-site

INR 1,530,000 - 1,870,000

Full time

6 days ago

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Job summary

Vrinda International is seeking an experienced Knowledge Engineer to design and implement enterprise-scale Knowledge Graph, semantic AI, and data-lakehouse solutions using Databricks and modern AI tools. You will lead technical workstreams and collaborate with cross-functional teams to deliver scalable knowledge services.

The role requires expertise in RDF/SPARQL/OWL/SHACL, graph databases, and data pipelines, plus strong Python/SQL skills and leadership experience.

Qualifications

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.

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.

Skills

Knowledge Graph

Ontology

Taxonomy

Semantic Modeling

Vector Search

RAG

LLM grounding

NLP

Entity extraction

Semantic search

Leadership

Databricks

Neo4j

Stardog

Amazon Neptune

Python

SQL

Spark

PySpark

Delta Lake

Unity Catalog

Tools

Databricks

Neo4j

Stardog

Amazon Neptune

Python

SQL

Spark

PySpark

Delta Lake

Unity Catalog

Job description

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Job Description

HIRING | KNOWLEDGE ENGINEER – DATABRICKS & AI

Experience: 6-8 years

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