Primary Skills: Expertise in Neo4j (Cypher query language, schema design, indexing) Strong grasp of graph data modeling and relationship design Proficiency in Graph Data Science (GDS) algorithms Experience with graph query optimization and performance tuning Knowledge of ETL for graph data ingestion (LOAD CSV, APOC procedures, Neo4j Admin import tools) Integration with APIs and drivers (Java, Python, JavaScript)
Secondary Skills: - Experience with other graph databases (like Amazon Neptune, TigerGraph, or Ontotext) - Working knowledge of big data platforms and streaming (Kafka, Spark) - Familiarity with data warehousing and ETL tools -Hands-on experience with graph-based AI/ML applications
Responsibilities: - Designed and implemented a scalable graph data model to represent complex supply chain networks using Neo4j. - Developed Cypher queries to support advanced analytics on transaction and fraud detection. - Built and optimized full-text, range, and vector indexes to accelerate query performance on millions of transactions. - Developed ETL pipelines with APOC and Neo4j Admin import tool to ingest large datasets efficiently. -Ensure data integrity and governance -Monitor and tune database performance, memory, and query plans to meet SLA requirements for transaction-heavy applications. -Build graph visualization for end-user business insights. -Automate backup, restore, and uptime monitoring scripts to manage enterprise-grade Neo4j infrastructure.
Numbers & Facts
Location
Edison
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