Jobs via Dice
Dice is the leading career destination for tech experts at every stage of their careers. Our client, VKore Solutions LLC, is seeking the following.
Job Description
Support developers in designing and handling graph schemas (vertices, edges, loading jobs).
Install and configure TigerGraph clusters.
Optimize data loading pipelines (batch & streaming).
Monitor data skew and partition balance across cluster nodes.
Create and handle users, roles, and privileges using TigerGraph's RBAC model.
Audit query activity and ensure compliance with data governance policies.
Monitor query performance, memory usage, disk I/O, analyze GSQL query plans and optimize long-running traversals.
Validate HA setup and ensure zero data loss within recovery objectives.
Apply TigerGraph version upgrades and security patches safely.
Handle node recovery, rebalancing, and partition reallocation.
Collaborate with data engineers and platform teams for architecture and scaling.
Handle day-to-day operations and issues, provide detailed RCA for outages.
Ability to thrive in a fast-paced, tight deadline delivery timeline.
Participate in new technology/extension/feature evaluation, design, and development of highly scalable distributed databases.
Seniority level: Entry level
Employment type: Full-time
Job function: Information Technology
#J-18808-Ljbffr
Job Description
Support developers in designing and handling graph schemas (vertices, edges, loading jobs).
Install and configure TigerGraph clusters.
Optimize data loading pipelines (batch & streaming).
Monitor data skew and partition balance across cluster nodes.
Create and handle users, roles, and privileges using TigerGraph's RBAC model.
Audit query activity and ensure compliance with data governance policies.
Monitor query performance, memory usage, disk I/O, analyze GSQL query plans and optimize long-running traversals.
Validate HA setup and ensure zero data loss within recovery objectives.
Apply TigerGraph version upgrades and security patches safely.
Handle node recovery, rebalancing, and partition reallocation.
Collaborate with data engineers and platform teams for architecture and scaling.
Handle day-to-day operations and issues, provide detailed RCA for outages.
Ability to thrive in a fast-paced, tight deadline delivery timeline.
Participate in new technology/extension/feature evaluation, design, and development of highly scalable distributed databases.
Seniority level: Entry level
Employment type: Full-time
Job function: Information Technology
#J-18808-Ljbffr