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Urgent! Data Engineer - Ontology Engineering Job Opening In Surat – Now Hiring Confidential

Data Engineer Ontology Engineering



Job description

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.


Skills Required
Data Modeling, ontology development, Big Data Technologies


Required Skill Profession

Computer Occupations



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