Data Engineer - Kolkata - Zorba Consulting

    Zorba Consulting
    Zorba Consulting Kolkata

    5 days ago

    Full time ₹900,000 - ₹2,500,000 (INR) per year *
    Description

    Key Responsibilities:

    Ontology Development:

    • Design and implement ontologies based on BFO and CCO principles, ensuring alignment with business needs and industry standards.
    • Collaborate with domain experts to capture and formalize domain knowledge into ontological structures.
    • Develop and maintain comprehensive ontologies modeling business entities, relationships, and processes.

    Data Modeling:

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

    Knowledge Graph Implementation:

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

    Data Quality and Governance:

    • Ensure quality, accuracy, and consistency across ontologies, data models, and knowledge graphs.
    • Define and enforce data governance processes and standards for ontology development and upkeep.

    Collaboration and Communication:

    • Work closely with data scientists, software engineers, and business stakeholders to understand data requirements and deliver tailored solutions.
    • Clearly communicate complex technical concepts to varied audiences.

    Qualifications:

    Education:

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

    Experience:

    • 5+ years in data engineering or a related field.
    • Proven experience in 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 (e.g., TigerGraph, JanusGraph) and triple stores (e.g., GraphDB, Stardog) is a plus.

    Desired Skills:

    • Familiarity with machine learning and natural language processing.
    • Experience with cloud data platforms such as AWS, Azure, or GCP.
    • Exposure to Databricks technologies like Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, and Photon.
    • Strong analytical and problem-solving skills.
    • Excellent communication and interpersonal abilities.
    * This salary range is an estimation made by beBee
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