Neo4j Graph DB + Cypher Expert

External Description

• Graph Database Architecture : Design and implement scalable graph database solutions using Neo4j.
• Develop and maintain graph data models for complex business domains (e.g., supply chain, manufacturing intelligence, R&D networks).
• Query Development & Optimization : Write efficient Cypher queries and optimize performance for large-scale graph datasets.
• Implement indexing, caching, and query tuning strategies.
• Integration & API Development : Build RESTful and GraphQL APIs to expose graph data to internal and external applications.
• Integrate Neo4j with microservices, cloud platforms (AWS / GCP / Azure), and enterprise systems.
• ETL & Data Ingestion : Design and manage ETL pipelines for ingesting structured and unstructured data into Neo4j.
• Collaborate with data engineers to ensure seamless data flow from source systems.
• Graph Analytics & ML : Collaborate with data scientists to implement graph-based machine learning models.
• Use Neo4j's graph algorithms library for recommendation engines, fraud detection, and network analysis.
• Security & Compliance : Ensure data governance, access control, and compliance with enterprise security standards.
• Implement backup, clustering, and disaster recovery strategies.
• Collaboration & Documentation : Work closely with cross-functional teams including product managers, architects, and analysts.
• Document data models, query logic, and integration workflows.

Required Qualifications :

Preferred Qualifications :

Skills Required

Neo4j development, Cypher query optimization, Graph data modeling, API integration (REST / GraphQL), ETL pipeline design, Cloud & microservices integration