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BigQuery Administrator

TechDigital Corporation
πŸ‡ΊπŸ‡Έ United States
On-site
2 months ago
  • BigQuery
  • GCP
  • AI/ML
  • Python
  • IAM
  • SQL
  • Terraform
  • Git
  • CI/CD
  • Apache Airflow
  • Composer
  • Teradata
  • PostgreSQL
  • Oracle
  • Opsgenie
  • Splunk
  • New Relic
  • ServiceNow
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Job Summary
The BigQuery Administrator is responsible for the administration, monitoring, performance optimization, security, governance, and operational support of Google Cloud BigQuery environments.
The role ensures the availability, scalability, reliability, and cost efficiency of enterprise data platforms while supporting analytics, reporting, AI/ML, and business-critical workloads.

Experience Level:8 - 10 Years
Role: L2/L3 Support / Platform Administration
Support Model: 24x7 Production Support (as applicable)

Technical Skills
βˆ™ Google Cloud Platform (GCP)
βˆ™ BigQuery Administration & Performance Tuning
βˆ™ BigQuery Reservations & Capacity Management
βˆ™ Python Programming
βˆ™ GCP IAM & Security
βˆ™ Cloud Monitoring & Logging
βˆ™ Cloud Storage
βˆ™ Data Warehousing Concepts
βˆ™ SQL Performance Optimization
βˆ™ Shell Scripting
βˆ™ Terraform
βˆ™ Git / CI-CD Pipelines
βˆ™ Apache Airflow / Cloud Composer (preferred)
Database Knowledge
βˆ™ BigQuery
βˆ™ Teradata (Preferred)
βˆ™ PostgreSQL/MSSQL/Oracle (Good to Have)
Monitoring & Operations
βˆ™ Cloud Monitoring
βˆ™ OpsGenie
βˆ™ Splunk
βˆ™ New Relic
βˆ™ ServiceNow

Key Responsibilities
Platform Administration
  • Administer and maintain Google BigQuery environments across Development, QA, UAT, and Production.
  • Configure and manage datasets, tables, partitions, clustering, and storage lifecycle policies.
  • Manage BigQuery resource allocation, quotas, reservations, and workload management.
  • Support platform upgrades, new feature adoption, and environment provisioning.
Performance & Optimization
  • Analyze and tune BigQuery SQL queries for improved performance and reduced execution cost.
  • Optimize storage structures, partitioning, clustering, and materialized views.
  • Monitor query execution patterns and recommend performance improvements.
  • Improve workload efficiency and reduce cloud spend through continuous optimization.

BigQuery Administrator Β· TechDigital Corporation

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