Graph Database DBA

Must-Have Skills

• Graph Database Expertise
• Hands-on experience with any of the leading graph databases (e.g., Neo4j, Amazon Neptune, Azure Cosmos DB Graph, or similar).
• Strong understanding of graph data models, nodes, edges, and properties.
• Query Languages - Proficiency in Cypher (Neo4j), Gremlin, or SPARQL for querying and managing graph data.

Database Administration

• Experience with installation, configuration, upgrades, and patching of graph databases.
• Backup, recovery, and disaster recovery planning for graph DB environments.
• Performance tuning and optimization of graph queries and database operations.
• Security & Compliance - Implementing role-based access control (RBAC), encryption, and auditing in graph DB environments.
• Data Integration - Ability to design and manage ETL processes for loading data into graph databases from relational or other sources.
• Monitoring & Maintenance - Familiarity with monitoring tools and techniques for graph DB health, performance, and capacity planning.
• Scripting & Automation - Strong skills in scripting languages (Python, Bash, or PowerShell) for automation of DBA tasks.
• OS & Cloud Knowledge - Familiarity with cloud platforms (AWS, Azure, or GCP) hosting graph databases.

Good-to-Have Skills

• Multi-Model Database Knowledge - Exposure to relational, document, and key-value databases for hybrid solutions.
• Graph Analytics - Understanding of graph algorithms (PageRank, shortest path, community detection) and their applications.
• DevOps & CI/CD - Experience integrating graph DB deployments into CI/CD pipelines.
• Data Modeling & Design - Ability to design efficient graph schemas for complex business domains.
• Visualization Tools - Familiarity with graph visualization tools (Bloom, Gephi, or similar).
• Programming - Experience with Java or .NET for building applications that interact with graph databases.
• Certifications- Neo4j Certified Professional or equivalent credentials.