Neo4j Graph DB + Cypher Expert

• 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.