Graph Database Engineer

Key Responsibilities

• Design and implement scalable graph database architectures using Neo4j.
  
• Develop, optimize, and maintain complex Cypher queries for high-performance data retrieval.
  
• Model complex datasets into efficient graph structures aligned with business use cases.
  
• Monitor and tune database performance, including indexing strategies and query execution plans.
  
• Manage database operations such as backups, recovery, clustering, and scaling.
  
• Collaborate with data scientists and AI teams to support knowledge graph and RAG-based applications.
  
• Ensure data integrity, consistency, and security across graph systems.
  
• Troubleshoot performance bottlenecks and implement improvements in query and schema design.
  
• Automate routine database maintenance and monitoring tasks.
  
• Document graph schemas, data flows, and operational procedures for internal stakeholders.
  

Requirements

Required Qualifications

• Strong hands-on experience with Neo4j in production environments.
  
• Proficiency in writing and optimizing Cypher queries for large-scale datasets.
  
• Solid understanding of graph data structures, relationships, and traversal techniques.
  
• Experience with indexing, query planning, and performance tuning in graph databases.
  
• Knowledge of database administration including backup, recovery, and clustering.
  
• Familiarity with integrating graph databases into application ecosystems via APIs or services.
  
• Experience working with large, complex datasets in distributed environments.
  
• Understanding of data modeling principles for knowledge graphs or connected data systems.
  

Preferred Qualifications

• Experience with graph-based AI/ML use cases such as recommendation systems or fraud detection.
  
• Exposure to Neo4j Aura or other managed graph database services.
  
• Familiarity with ETL pipelines and data ingestion into graph databases.
  
• Experience working with cloud platforms (AWS, GCP, or Azure).
  
• Knowledge of other database systems (SQL/NoSQL) and data integration patterns.
  

Experience Requirements

• 3–6 years of experience in database engineering or backend development.
  
• At least 2+ years of hands-on experience with Neo4j or other graph databases.
  
• Proven experience working on data-intensive applications or graph-based systems.