Data Engineer - Ontology Engineering

Role Responsibilities:

Ontology Development:

• Design and implement ontologies based on BFO (Basic Formal Ontology) and CCO (Common Core Ontology) principles, ensuring alignment with business needs and industry standards.
• Collaborate with domain experts to capture and formalize domain knowledge into structured ontologies.
• Develop and maintain comprehensive ontologies to represent business entities, relationships, and processes.

Data Modeling:

• Design semantic and syntactic data models adhering to ontological principles.
• Create scalable, flexible, and adaptable data models that meet evolving business requirements.
• Integrate data models with existing data infrastructures and applications.

Knowledge Graph Implementation:

• Design and build knowledge graphs leveraging ontologies and data models.
• Develop algorithms and tools for knowledge graph population, enrichment, and ongoing maintenance.
• Utilize knowledge graphs for advanced analytics, search, and recommendation systems.

Data Quality and Governance:

• Ensure accuracy, quality, and consistency of ontologies, data models, and knowledge graphs.
• Define and implement governance processes and standards for ontology and knowledge graph maintenance.

Collaboration and Communication:

• Work closely with data scientists, software engineers, and business stakeholders to understand data requirements and provide tailored solutions.
• Communicate complex technical concepts clearly and effectively across diverse audiences.

Qualifications:

Education:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Experience:

• 5+ years in data engineering or related roles.
• Proven experience with ontology development using BFO, CCO, or similar frameworks.
• Strong knowledge of semantic web technologies: RDF, OWL, SPARQL, SHACL.
• Proficiency in Python, SQL, and other relevant programming languages.
• Experience with graph databases (TigerGraph, JanusGraph) and triple stores (GraphDB, Stardog) is a plus.

Desired Skills:

• Familiarity with machine learning and natural language processing (NLP) techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Databricks technologies: Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, Photon.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.