Description

Lead the design, implementation, and optimization of scalable graph-based database solutions.

Responsibilities

• Design, develop, and deploy Neo4j and GraphDB solutions.
• Define graph database models and optimize Cypher queries for performance and scalability.
• Implement ETL processes and data pipelines to integrate graph databases with enterprise systems.
• Develop custom procedures, algorithms, and indexing strategies to enhance graph search capabilities.
• Monitor database health, troubleshoot performance issues, and mentor junior engineers.

Required Skills

• 8+ years of experience in database engineering.
• 4+ years of hands-on experience with Neo4j or GraphDB.
• Expertise in Cypher query language and graph query performance tuning.
• Strong knowledge of data modeling, indexing, and schema design for property graphs.
• Experience with graph algorithms, RDF, and SPARQL.
• Proficiency in Python or Java for database interactions.
• Hands-on experience with ETL tools and data pipeline frameworks.
• Experience deploying graph databases on cloud platforms (AWS, Azure, or GCP).
• Knowledge of security best practices for graph database implementations.

Preferred Skills

• Experience with Apache TinkerPop/Gremlin, ArangoDB, or TigerGraph.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of big data frameworks including Spark and Kafka.

Key Skills

Education

Bachelor's degree