Data Engineer - Ontology Engineering

Data Engineer

Roles & Responsibilities:

• Design and implement ontologies based on

  BFO (Basic Formal Ontology) and CCO (Common Core Ontologies)

  principles, ensuring alignment with business requirements and industry standards.
• Collaborate with domain experts to capture and formalize domain knowledge into ontological structures.
• Develop and maintain comprehensive ontologies to model various business entities, relationships, and processes.
• Design and implement semantic and syntactic data models that adhere to ontological principles, ensuring they are scalable, flexible, and adaptable.
• Integrate data models with existing data infrastructure and applications.
• Design and build

  knowledge graphs

  based on ontologies and data models.
• Develop algorithms and tools for knowledge graph population, enrichment, and maintenance.
• Utilize knowledge graphs to enable advanced analytics, search, and recommendation systems.
• Ensure the quality, accuracy, and consistency of ontologies, data models, and knowledge graphs.
• Define and implement data governance processes and standards for ontology development and maintenance.
• Work closely with data scientists, software engineers, and business stakeholders to understand their data requirements and provide tailored solutions.
• Communicate complex technical concepts clearly and effectively to diverse audiences.

Skills Required:

• Proven experience in

  ontology development

  using

  BFO and CCO

  or similar ontological frameworks.
• Strong knowledge of

  semantic web technologies

  , including

  RDF, OWL, SPARQL, and SHACL

  .
• Proficiency in

  Python, SQL

  , and other programming languages used for data engineering.
• Experience with

  graph databases

  (e.g., TigerGraph, JanusGraph) and

  triple stores

  (e.g., GraphDB, Stardog) is a plus.
• Familiarity with machine learning and natural language processing techniques is a plus.
• Experience with cloud-based data platforms (e.g.,

  AWS, Azure, GCP

  ) is a plus.
• Experience with

  Databricks technologies

  including Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, and Photon is a plus.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.

QUALIFICATION:

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