Description

You will design, build, and maintain graph-based data pipelines and semantic models for customer-facing applications.

This role is hybrid.

Responsibilities

• Extract raw data from customer sources and load it into graph databases using Python, SPARQL, and Cypher.
• Consult with customers to prepare ontologies, semantic data models, and subject-predicate-object structures.
• Configure and optimize graphmarts, ensuring scalable sizing and troubleshooting performance issues.
• Expose aggregated data via RESTful endpoints and maintain technical documentation for agreed data models.
• Support DevOps teams with scalability concepts for specific use cases.

Required Skills

• 5+ years of experience architecting and delivering cloud/internet-facing applications.
• Strong Python programming skills for ETL processes and data manipulation.
• Deep knowledge of graph databases (FalkorDB, Neo4j, Fuseki) and query languages (Cypher, SPARQL).
• Proficiency in RDF, OWL specifications, and ontology development.
• Experience with GCP and working with graph databases on cloud infrastructure.
• Ability to load data from relational databases, CSV, JSON, and other formats.
• Basic understanding of REST API development and data storage formats.

Preferred Skills

• Certification in graph tools such as Fuseki, Neo4j, or FalkorDB.
• Excellent written and spoken communication skills for articulating complex technical information.

Key Skills

Education

Bachelor's degree