Knowledge Graph Developer

We are looking for a Knowledge Graph Developer to design, build, and maintain semantic knowledge graphs that enable advanced search, recommendation, and AI-driven insights. The role involves working with graph databases, ontologies, and linked data to structure complex relationships across datasets.

Key Responsibilities:

• Design, develop, and maintain knowledge graphs for AI and enterprise applications.
• Model and implement ontologies, taxonomies, and semantic relationships.
• Work with graph databases (Neo4j, Amazon Neptune, Stardog, TigerGraph).
• Develop ETL pipelines to integrate structured and unstructured data into graphs.
• Optimize graph queries (Cypher, SPARQL, Gremlin) for performance and scalability.
• Collaborate with data scientists, ML engineers, and domain experts to deliver insights.
• Ensure data quality, consistency, and semantic accuracy.
• Stay updated with emerging semantic web and graph technologies.

Required Skills & Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Data Science, or related field.
• 3–7 years of experience in graph database development or semantic web technologies.
• Proficiency in graph query languages (Cypher, SPARQL, Gremlin).
• Strong programming skills in Python, Java, or Scala.
• Experience with data modeling, RDF, OWL, and knowledge representation.
• Familiarity with data integration, APIs, and ETL processes.

Preferred (Optional):

• Experience with NLP, entity recognition, and relation extraction.
• Exposure to machine learning and reasoning over knowledge graphs.
• Knowledge of cloud data services (AWS Neptune, GCP Graph, Azure Cosmos DB Graph).