About this opportunity
2T Consulting lists this Ontology / Knowledge Graph Engineer opportunity in Cranford, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We are seeking an experienced Ontology / Knowledge Graph Engineer with strong expertise in ontology engineering, semantic modeling, and knowledge graph development. The ideal candidate will have hands-on experience designing and implementing ontology-driven knowledge graphs using standards such as OWL, RDF, SPARQL, SHACL, and JSON-LD.
Required Skills
Strong experience in Ontology Engineering and ontology-driven knowledge graph design.
Expertise in Knowledge Modeling and Semantic Modeling.
Hands-on experience with OWL, RDF, SPARQL, SHACL, and JSON-LD.
Experience with Ontological Inference and consistency checking.
Strong knowledge of Knowledge Graphs, RDF Graphs, and Property Graphs.
Experience with Graph Data Modeling and Graph Analytics.
Hands-on experience with Entity Resolution.
Ability to design and implement scalable semantic and knowledge graph solutions.
Technologies / Tools
Protégé
TopBraid Composer
OntoStudio
Neo4j
Stardog
GraphDB
Apache Jena
Fuseki
Blazegraph
Virtuoso
Key Responsibilities
Design, develop, and maintain enterprise ontologies and semantic models.
Build ontology-driven Knowledge Graph (KG) solutions aligned with business and technical requirements.
Develop and manage RDF-based knowledge graphs using OWL, RDF, SPARQL, SHACL, and JSON-LD.
Implement ontological inference and reasoning capabilities.
Perform consistency checking and validation of ontologies and knowledge graph data.
Develop graph data models and support both RDF and property graph architectures.
Implement entity resolution and semantic relationships across disparate data sources.
Perform graph analytics to derive insights from connected data.
Use ontology and knowledge graph tools such as Protégé, TopBraid Composer, Stardog, GraphDB, Neo4j, and Apache Jena.
Collaborate with data engineers, architects, and business stakeholders to define semantic requirements and modeling standards.
Establish best practices for ontology governance, versioning, validation, and knowledge graph quality.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.