Graph DBA Admin

Job Description

Required Information Details

1 Role Graph DBA

2 Required Technical Skill Set -Graph Databases (Neo4j / TigerGraph / Amazon Neptune / Janus Graph) Graph Query Languages (Cypher / Gremlin / SPARQL) Linux / Unix Administration Data Modeling (Graph Data Modeling nodes, edges, relationships) Performance Monitoring and Query Optimization Backup, Restore and High Availability concepts Integration with APIs / Data Pipelines Basic scripting (Shell / Python)

3 Desired Relevant Experience- 6 to 10Years

4 Location of Requirement Hyderabad, Mumbai, Bangalore

Desired Competencies (Technical/Behavioral Competency)

Must-Have Hands-on experience in administering at least one Graph Database (preferably Neo4j or equivalent)

Strong experience in writing and optimizing graph queries (Cypher / Gremlin) Experience in graph data modeling (nodes, relationships, properties) Experience in performance tuning and troubleshooting slow queries Experience managing database backups, recovery, and high availability setups Experience working in Linux environment for deployments and troubleshooting Understanding of data ingestion into graph DB from relational / streaming sources

Good-to-Have Datawarehouse Concepts, DB Admin experience, Linux/Unix

Responsibility/Expectations from the Role

Administer, configure, and maintain graph database platforms (e.g., Neo4j, TigerGraph, Amazon Neptune) ensuring high availability and reliability

Design and optimize graph data models (nodes, relationships, properties) based on business use cases

Monitor and tune graph queries (Cypher / Gremlin / SPARQL) to ensure optimal performance and

resource utilization

Manage database lifecycle activities including installation, upgrades, patching, backup, and recovery

Troubleshoot performance bottlenecks, query failures, and system-level issues to ensure minimal downtime

Implement and maintain security controls, user access management, and data governance policies

Integrate graph database with upstream/downstream systems (APIs, ETL pipelines, streaming platforms)

Work closely with application teams, data engineers, and business stakeholders to support graph-based use cases

Ensure system monitoring, alerting, and capacity planning for proactive issue prevention