Semantic Data & Knowledge Graph Engineer
Tasks
- Collaborate with domain experts on technical models
- Create and validate identifiers provenance evidence
- Define semantic relationships
- Design RDF data models
- Develop Python pipelines for data transformation
- Document mappings modelling decisions and validation rules
- Generate RDF from source data
- Implement Entity Resolution
- Implement semantic quality checks
- Integrate semantic assets into analytics and AI solutions
- Map structured and unstructured data to ontologies
- Validate mapping rules
- Write SPARQL queries for knowledge graph analysis
Perks/Benefits
- Career growth programs
- Great office locations
- Health insurance
- Hybrid work
- Life insurance
- Referral program
- Training and certifications
- Work-life balance
Skills/Tech-stack
API | Controlled Vocabulary Management | Controlled vocabulary | Data Mapping | Data Quality | Data pipeline | Docker | Entity Linking | Git | Graph Database | Metadata | OWL | Owlready2 | Provenance | Python | RDF | RDF Graph Database | RDFS | Rdflib | SPARQL | Schema Validation | Shacl | Triple-Stores | Vocabulary Management
Education
N/A
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