Role: GCP Big Query Admin
Location: Ashburn VA / Irving TX (Hybrid - 3 days a week in office)
Job Type: Contract
No of Positions: 2 (1 in each location)
Note: Please dont share GCP Engineers / Data Engineers - Need Admin candidates
We are looking for a BQ DBA with Operations support specialist.
This is an immediate requirement and candidate needs to relocate to Irving TX / Ashburn VA.
Job Description:
Administer and support Google Big Query environments including datasets tables and access controls
Monitor and optimize query performance storage and slot utilization
Manage Big Query costs through capacity planning quotas and usage analysis
Provide L2/L3 production support for Big Query incidents and data issues
Troubleshoot query failures performance degradation and quota limitations
Implement security best practices using IAM and dataset-level permissions
Support batch and streaming data ingestion pipelines into Big Query
Ensure data availability reliability and SLA adherence
Collaborate with data engineering and analytics teams on platform best practices
Role: GCP Big Query Admin Location: Ashburn VA / Irving TX (Hybrid - 3 days a week in office) Job Type: Contract No of Positions: 2 (1 in each location) Note: Please dont share GCP Engineers / Data Engineers - Need Admin candidates We are looking for a BQ DBA with Operations support special...
Role: GCP Big Query Admin
Location: Ashburn VA / Irving TX (Hybrid - 3 days a week in office)
Job Type: Contract
No of Positions: 2 (1 in each location)
Note: Please dont share GCP Engineers / Data Engineers - Need Admin candidates
We are looking for a BQ DBA with Operations support specialist.
This is an immediate requirement and candidate needs to relocate to Irving TX / Ashburn VA.
Job Description:
Administer and support Google Big Query environments including datasets tables and access controls
Monitor and optimize query performance storage and slot utilization
Manage Big Query costs through capacity planning quotas and usage analysis
Provide L2/L3 production support for Big Query incidents and data issues
Troubleshoot query failures performance degradation and quota limitations
Implement security best practices using IAM and dataset-level permissions
Support batch and streaming data ingestion pipelines into Big Query
Ensure data availability reliability and SLA adherence
Collaborate with data engineering and analytics teams on platform best practices
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