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Senior Knowledge Engineer
3 weeks ago
Job Summary:
As an Ontology Developer, you will be responsible for designing and implementing ontologies based on BFO and CCO principles. You will collaborate with domain experts to formalize domain knowledge into reusable ontological structures.
Key Responsibilities:
- Design and implement ontologies modeling business entities, relationships, and processes
- Develop and maintain scalable, flexible, and adaptable data models to accommodate evolving business needs
- Integrate data models into existing data infrastructure and applications
Knowledge Graph Implementation:
- Design and build knowledge graphs based on defined ontologies and data models
- Develop tools and algorithms for knowledge graph population, enrichment, and maintenance
- Leverage knowledge graphs for advanced analytics, intelligent search, and recommendations
Collaboration and Communication:
- Partner with data scientists, software engineers, and stakeholders to translate data requirements into ontological solutions
- Communicate complex data and semantic modeling concepts clearly across technical and business teams
Qualifications:
Education:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
Experience:
- Minimum 5 years of experience in data engineering or a similar technical role
- Proven experience in developing ontologies using BFO, CCO, or equivalent frameworks
- Deep understanding of semantic web technologies: RDF, OWL, SPARQL, SHACL
- Proficient in Python, SQL, and related data engineering tools
- Experience with graph databases (e.g., TigerGraph, JanusGraph) and triple stores (e.g., Stardog, GraphDB) is a plus
Desired Skills:
- Familiarity with machine learning and NLP techniques
- Experience with cloud platforms (AWS, Azure, GCP)
- Exposure to Databricks tools and technologies: Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, Photon
- Strong problem-solving and analytical mindset
- Excellent verbal and written communication skills