Graph Database Consultant

Consultant - Graph Developer

Mandatory Skills

 

• Minimum 2 years of relevant experience with Graph Database like Stardog / GraphDB / Virtuoso / Neo4j / AWS Neptune.
• Strong expertise in W3C semantic standards: RDF, OWL, RDFS, SKOS.
• Experience with OWL reasoning, inference strategies, and rule-based extensions (e.g., SWRL)
• Strong proficiency in Python (e.g., RDFLib, Owlready2, PySHACL).
• Develop and maintain knowledge graph structures to model complex relationships and entities.
• Experience with ontology editors like Protégé, PoolParty, or Semaphore
• Collaborate with cross-functional teams to integrate diverse data sources into the knowledge graph.
• Implement efficient query mechanisms using languages such as SPARQL to extract meaningful insights.
• Ensure data integrity and semantic accuracy within the graph framework.
• Assess client requirements to tailor knowledge graph solutions that meet specific business needs.
• Experience linking graphs with Generative AI, RAG / GraphRAG, and semantic search

 

 

Primary Roles and Responsibilities 

 

The role is responsible to design, implement, and manage scalable knowledge graph solutions tailored to enhance data integration, retrieval, and insights. The ideal candidate will have expertise in graph databases, semantic technologies, and data modeling, enabling our organization to leverage interconnected data for advanced analytics and strategic decision-making

 

Preferred Skills

• Good understanding of SDLC

• Troubleshooting issues and addressing independently

• Experience working in­­­­­ Cloud environment

Mandatory Skills

 

• Minimum 2 years of relevant experience with Graph Database like Stardog / GraphDB / Virtuoso / Neo4j / AWS Neptune.
• Strong expertise in W3C semantic standards: RDF, OWL, RDFS, SKOS.
• Experience with OWL reasoning, inference strategies, and rule-based extensions (e.g., SWRL)
• Strong proficiency in Python (e.g., RDFLib, Owlready2, PySHACL).
• Develop and maintain knowledge graph structures to model complex relationships and entities.
• Experience with ontology editors like Protégé, PoolParty, or Semaphore
• Collaborate with cross-functional teams to integrate diverse data sources into the knowledge graph.
• Implement efficient query mechanisms using languages such as SPARQL to extract meaningful insights.
• Ensure data integrity and semantic accuracy within the graph framework.
• Assess client requirements to tailor knowledge graph solutions that meet specific business needs.
• Experience linking graphs with Generative AI, RAG / GraphRAG, and semantic search

 

 

Primary Roles and Responsibilities 

 

The role is responsible to design, implement, and manage scalable knowledge graph solutions tailored to enhance data integration, retrieval, and insights. The ideal candidate will have expertise in graph databases, semantic technologies, and data modeling, enabling our organization to leverage interconnected data for advanced analytics and strategic decision-making

 

Preferred Skills

• Good understanding of SDLC

• Troubleshooting issues and addressing independently

• Experience working in­­­­­ Cloud environment

Mandatory Skills

 

• Minimum 2 years of relevant experience with Graph Database like Stardog / GraphDB / Virtuoso / Neo4j / AWS Neptune.
• Strong expertise in W3C semantic standards: RDF, OWL, RDFS, SKOS.
• Experience with OWL reasoning, inference strategies, and rule-based extensions (e.g., SWRL)
• Strong proficiency in Python (e.g., RDFLib, Owlready2, PySHACL).
• Develop and maintain knowledge graph structures to model complex relationships and entities.
• Experience with ontology editors like Protégé, PoolParty, or Semaphore
• Collaborate with cross-functional teams to integrate diverse data sources into the knowledge graph.
• Implement efficient query mechanisms using languages such as SPARQL to extract meaningful insights.
• Ensure data integrity and semantic accuracy within the graph framework.
• Assess client requirements to tailor knowledge graph solutions that meet specific business needs.
• Experience linking graphs with Generative AI, RAG / GraphRAG, and semantic search

 

 

Primary Roles and Responsibilities 

 

The role is responsible to design, implement, and manage scalable knowledge graph solutions tailored to enhance data integration, retrieval, and insights. The ideal candidate will have expertise in graph databases, semantic technologies, and data modeling, enabling our organization to leverage interconnected data for advanced analytics and strategic decision-making

 

Preferred Skills

• Good understanding of SDLC

• Troubleshooting issues and addressing independently

• Experience working in­­­­­ Cloud environment

Experience Level

Mid Level