Data Engineer with Neo4j Graph Introduction:
A Data Engineer with Neo4j Graph specialization is responsible for utilizing Neo4j Cypher and Graph Data Modeling to create and maintain structured graph databases. They play a crucial role in defining ontology designing relationships and optimizing query performance within the graph database.
Responsibilities:
- Utilize Cypher for querying the graph database
- Design and implement graph data models to represent complex relationships
- Define ontology to provide a formal structure to the graph
- Profile query execution to optimize performance
- Integrate Neo4j with other systems using languages like Python
- Apply graph algorithms to uncover insights into skill relationships
- Leverage AI/ML integration for tasks like resume screening and skills analysis
- Ensure data governance and security within the graph database
Requirements: Required Skills:
- Cypher: Proficiency in Neo4js query language
- Graph Data Modeling: Understanding complex relationships in a graph
- Ontology Design: Formal definition of domain model
- Query Profiling: Ability to optimize query performance
- Integration: Proficiency in languages like Python
Preferred Skills:
- Skill Ontology Engineering
- Knowledge Graph Construction
- Graph Algorithms
- AI/ML Integration
- Data Governance and Security
Data Engineer with Neo4j Graph Introduction: A Data Engineer with Neo4j Graph specialization is responsible for utilizing Neo4j Cypher and Graph Data Modeling to create and maintain structured graph databases. They play a crucial role in defining ontology designing relationships and optimizing query...
Data Engineer with Neo4j Graph Introduction:
A Data Engineer with Neo4j Graph specialization is responsible for utilizing Neo4j Cypher and Graph Data Modeling to create and maintain structured graph databases. They play a crucial role in defining ontology designing relationships and optimizing query performance within the graph database.
Responsibilities:
- Utilize Cypher for querying the graph database
- Design and implement graph data models to represent complex relationships
- Define ontology to provide a formal structure to the graph
- Profile query execution to optimize performance
- Integrate Neo4j with other systems using languages like Python
- Apply graph algorithms to uncover insights into skill relationships
- Leverage AI/ML integration for tasks like resume screening and skills analysis
- Ensure data governance and security within the graph database
Requirements: Required Skills:
- Cypher: Proficiency in Neo4js query language
- Graph Data Modeling: Understanding complex relationships in a graph
- Ontology Design: Formal definition of domain model
- Query Profiling: Ability to optimize query performance
- Integration: Proficiency in languages like Python
Preferred Skills:
- Skill Ontology Engineering
- Knowledge Graph Construction
- Graph Algorithms
- AI/ML Integration
- Data Governance and Security
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