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Data Engineer

4 weeks ago

Kolkata, West Bengal, India Zorba Consulting Full time
Job 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.