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Compass

GCP & BigQuery DevOps, Mid-Level

Compass

DevOps engineer managing GCP, BigQuery, Cloud Storage, and Compute Engine. Supporting data pipelines and AI-driven digital transformation at Compass UOL.

Posted 8/21/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing and optimizing Google Cloud Platform (GCP) environments, including BigQuery, Cloud Storage, and Compute Engine. Proficient in SQL for data analysis and committed to implementing DevOps best practices and automation initiatives.

Highest-signal resume keywords
Google Cloud Platform (GCP)BigQueryCloud StorageCompute EngineSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
DevOps EngineeringData IngestionData TransformationPerformance MonitoringTechnical Issue Resolution
Soft Skills
Collaborative ApproachProactive Problem Solving
Tools & Technologies
GCP Cost OptimizationInfrastructure Automation
Industry Keywords
Cloud EnvironmentsData Governance

Tech Stack

Tools & technologies
BigQueryCloudGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact
  • Manage and support Google Cloud Platform (GCP) environments;
  • Manage and optimize BigQuery, Cloud Storage, and Compute Engine resources;
  • Support data ingestion and transformation pipelines;
  • Perform queries and analyses using SQL;
  • Monitor the performance, availability, and usage of GCP resources;
  • Support automation initiatives and DevOps best practices;
  • Identify and resolve issues in cloud and data environments;
  • Collaborate with Development and Data teams to enhance solutions.

Requirements

What you’ll need
  • Professional experience as a DevOps Engineer;
  • Hands-on experience with GCP;
  • Advanced knowledge of BigQuery;
  • Experience with Cloud Storage and Compute Engine;
  • Knowledge of SQL;
  • Experience working with cloud environments and resources;
  • Ability to analyze and resolve technical issues;
  • Collaborative and proactive approach;
  • Availability to work in a hybrid model, two days per week in Vila Butantã, São Paulo, SP;
  • Preferred: Experience with data pipelines;
  • Preferred: Knowledge of GCP cost optimization;
  • Preferred: Experience with infrastructure automation;
  • Preferred: Knowledge of data governance.

Benefits

Comp & perks
  • Position also open to candidates with disabilities.