Graph Developers/Engineers with Neo4j - (100% Remote)

• Design and develop graph data models in Neo4j to support complex business relationships and analytics use cases.
• Write, optimize, and maintain Cypher queries, stored procedures, and graph algorithms for efficient graph traversal and pattern matching.
• Implement and leverage Neo4j Graph Data Science (GDS) algorithms such as PageRank, Community Detection, Similarity, and Pathfinding.
• Build and maintain graph data pipelines to ingest data from relational databases, APIs, files, and event streams into Neo4j.
• Develop integrations with enterprise applications using Python, Java, and JavaScript Neo4j drivers.
• Expose graph services through GraphQL and REST APIs for downstream applications and AI/analytics platforms.
• Manage Neo4j environments, including indexing, query tuning, performance optimization, monitoring, and troubleshooting.
• Establish graph governance standards covering schema management, data quality, security, access controls, and operational best practices.
• Collaborate with architects, data engineers, AI/ML teams, and business stakeholders to deliver scalable graph solutions.

Regards,

Mohammed ilyas

• 5+ years of experience in graph database development, data engineering, or backend development.
• Hands-on experience with Neo4j, Cypher Query Language, and graph data modeling.
• Experience with Neo4j Graph Data Science (GDS) library and graph analytics.
• Strong programming skills in Python, Java, or JavaScript.
• Experience developing and consuming REST APIs and GraphQL services.
• Knowledge of data integration, ETL pipelines, and working with relational and NoSQL data sources.
• Familiarity with cloud platforms (Azure preferred), Docker, and CI/CD practices.
• Strong analytical, troubleshooting, and communication skills.

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