We are seeking an expert Neo4j Graph Database Engineer to design develop and optimize graph-based data models and applications that power sophisticated analytics and insights. The ideal candidate will have hands-on expertise with Neo4j Cypher and graph modeling along with a strong understanding of data integration performance tuning and API-based access for enterprise-scale systems.
- 5 years in data engineering backend development or database design including 3 years of hands-on work with Neo4j for graph modeling Cypher queries and performance tuning.
- Proficient in at least one programming language (Java Python or JavaScript) with strong knowledge of APIs microservices and data integration frameworks.
- Deep understanding of graph theory concepts (nodes relationships traversals centrality) and familiarity with Neo4j Bloom GraphQL for Neo4j or the Graph Data Science (GDS) library.
- Proficient in data modeling ETL pipeline development and SQL/NoSQL databases.
- Bachelors or Masters degree in Computer Science Information Systems or related field.
- Exposure to supply chain product lifecycle or recommendation systems.
- Experience with graph analytics ML integrations or knowledge graphs.
- Familiarity with Docker/Kubernetes CI/CD and infrastructure automation.
- Knowledge of data visualization tools (Power BI Tableau or custom dashboards).
We are seeking an expert Neo4j Graph Database Engineer to design develop and optimize graph-based data models and applications that power sophisticated analytics and insights. The ideal candidate will have hands-on expertise with Neo4j Cypher and graph modeling along with a strong understanding of d...
We are seeking an expert Neo4j Graph Database Engineer to design develop and optimize graph-based data models and applications that power sophisticated analytics and insights. The ideal candidate will have hands-on expertise with Neo4j Cypher and graph modeling along with a strong understanding of data integration performance tuning and API-based access for enterprise-scale systems.
- 5 years in data engineering backend development or database design including 3 years of hands-on work with Neo4j for graph modeling Cypher queries and performance tuning.
- Proficient in at least one programming language (Java Python or JavaScript) with strong knowledge of APIs microservices and data integration frameworks.
- Deep understanding of graph theory concepts (nodes relationships traversals centrality) and familiarity with Neo4j Bloom GraphQL for Neo4j or the Graph Data Science (GDS) library.
- Proficient in data modeling ETL pipeline development and SQL/NoSQL databases.
- Bachelors or Masters degree in Computer Science Information Systems or related field.
- Exposure to supply chain product lifecycle or recommendation systems.
- Experience with graph analytics ML integrations or knowledge graphs.
- Familiarity with Docker/Kubernetes CI/CD and infrastructure automation.
- Knowledge of data visualization tools (Power BI Tableau or custom dashboards).
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