Exdonuts

Graph Database Developer (Neo4j/GDS) ::Edison(Onsite)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Graph Database Developer (Neo4j/GDS) in Edison, onsite, with a contract length of unspecified duration. Key skills include Neo4j expertise, graph data modeling, GDS algorithms, and ETL for graph data ingestion. Industry experience is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 27, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Ohio, United States
-
🧠 - Skills detailed
#Schema Design #Data Ingestion #Consulting #Scala #TigerGraph #Big Data #Kafka (Apache Kafka) #Databases #"ETL (Extract #Transform #Load)" #Data Modeling #AI (Artificial Intelligence) #Indexing #Amazon Neptune #Spark (Apache Spark) #Database Performance #Datasets #Data Science #Data Integrity #Neo4J #Java #Graph Databases #Python #.Net #Visualization #HBase #ML (Machine Learning) #JavaScript
Role description
HI Hope you are doing well! I have an urgent requirement with one of my clients. Please find the job details below and forward me your updated resume along with your contact details ajeet@realtekconsulting.net Graph Database Developer (Neo4j/GDS) Location :: Edison ( Onsite) Job description 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.