Reference Data Specialist
Tasks
- Build automated data ingestion pipelines
- Build semantic reference data models
- Define semantic standards
- Design ontologies
- Develop RDF OWL SKOS frameworks
- Develop SPARQL and SQL queries
- Harmonize metadata
- Ingest data using PySpark
- Ingest data using Python
- Integrate semantic data
- Maintain ontologies and taxonomies
- Manage ontology lifecycle
- Mentor junior engineers
- Model validate version publish ontologies
- Provide technical leadership
- Publish semantic data
- Support knowledge graph initiatives
- Support metadata management
- Troubleshoot semantic data load and mapping
- Write SPARQL queries
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | CENtree | Data Governance | Databricks | ETL | Git | GraphDB | JSON-LD | Knowledge graph | Linked Data | MarkLogic | Metadata Management | OWL | Protégé | PySpark | Python | RDF | REST APIs | SAFe | SKOS | SPARQL | SQL | Semantic interoperability | Semantic publishing | Shacl | TopBraid | XML
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