Graph Database Engineer

Orcapod Consulting Services; Hyderabad; Híbrido; INR 1 200 000 - 2 400 000; Tempo parcial

Resumo da oferta

Orcapod Consulting Services is seeking a contractual Graph Data Specialist in HYDERABAD to lead graph-based knowledge modeling. You will work on data integration, ontology design, and GenAI-enabled KM capabilities for enterprise data discovery.

Required 4+ years of experience in data engineering, graph databases, RDF/OWL, and semantic modeling, with hands-on Neo4j or TigerGraph experience. Immediate joiners preferred.

Qualificações

• Expertise in Graph Databases, Semantic Web Technologies, Ontology Development, and KM systems.
• Strong experience in Data Engineering, Data Architecture, Data Modeling, or Knowledge Management.
• Hands-on experience with at least one Graph Database (Neo4j, TigerGraph, or similar).
• Strong understanding of Graph Theory, Network Analysis, and relationship-based data modeling.
• Experience with Semantic Web technologies (RDF, OWL, SPARQL) and knowledge graphs.
• Experience designing ontologies, taxonomies, knowledge graphs, and semantic data models.
• Understanding AI/GenAI integration with knowledge graphs for intelligent data discovery.
• Ability to work with structured and unstructured data to create graph-based knowledge representations.

Conhecimentos

Graph Databases

Semantic Web Technologies

Ontology Development

Data Modeling

AI/GenAI-driven KM Systems

Data Engineering

Data Architecture

Knowledge Management

Graph Theory

Network Analysis

RDF/OWL/SPARQL

Descrição da oferta de emprego

Location:HYDERABAD

Type:CONTRACTUAL

EXP:4+ years

IMMEDIATE JOINERS

Required Skills:

• Expertise in Graph Databases, Semantic Web Technologies, Ontology Development, Data Modeling, and AI/GenAI-driven Knowledge Management Systems.
• Strong experience in Data Engineering, Data Architecture, Data Modeling, or Knowledge Management.
• Hands-on experience with at least one Graph Database, such as Neo4j, TigerGraph, or similar.
• Strong understanding of Graph Theory, Network Analysis, and relationship-based data modeling.
• Experience with Semantic Web technologies, including concepts such as RDF, OWL, SPARQL, and knowledge graphs.
• Experience designing and developing ontologies, taxonomies, knowledge graphs, and semantic data models.
• Understanding of integrating AI/GenAI capabilities with knowledge graphs for knowledge management and intelligent data discovery.
• Ability to work with structured and unstructured data and transform it into meaningful graph-based knowledge representations.