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:

• 3+ years of hands-on experience with Neo4j and graph databases.
• Strong proficiency in

  Cypher

  query language.
• Solid understanding of

  graph theory

  and

  data modeling principles

  .
• Experience with

  Java

  ,

  Python

  , or

  JavaScript

  for backend development.
• Familiarity with

  CI/CD pipelines

  ,

  version control (Git)

  , and

  DevOps practices

  .
• Knowledge of

  RESTful APIs

  ,

  GraphQL

  , and

  microservices architecture

  .
• Experience with

  cloud platforms

  (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Preferred Qualifications:

• Neo4j Certified Professional.
• Experience with

  Neo4j Aura

  or other managed graph database services.
• Exposure to

  GDS, graph-based ML algorithms

  and

  semantic technologies

  (RDF, SPARQL).
• Familiarity with

  Neo4j Bloom

  for data visualization.
• Experience in

  ETL tools

  like Databricks, Apache NiFi, or Talend.
• Domain experience in

  semiconductor

  ,

  materials science

  , or

  advanced manufacturing

  is a plus.