GCP & BigQuery DevOps, Mid-Level

Jobtailor; São Paulo; Híbrido; BRL 180 000 - 280 000; Tempo integral

Resumo da oferta

Jobtailor in São Paulo is seeking a DevOps Engineer to manage and optimize GCP environments, with emphasis on BigQuery, Cloud Storage, and Compute Engine. You will support data ingestion and transformations, run SQL analyses, and monitor resource performance and costs.

Collaboration with Development and Data teams is essential to enhance cloud solutions. Ideal candidates have hands-on GCP experience, strong SQL skills, and a proactive, collaborative approach.

Qualificações

• Experience as a DevOps Engineer.
• Hands-on 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.

Responsabilidades

• 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.

Conhecimentos

GCP

BigQuery

Cloud Storage

Compute Engine

SQL

DevOps

Data Ingestion

Data Transformation

Performance Monitoring

Issue Resolution

Collaboration

Hybrid Work

Ferramentas

BigQuery

Cloud Storage

Compute Engine

SQL

Descrição da oferta de emprego

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

• 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.

Core Competencies

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)
• BigQuery
• Cloud Storage
• Compute Engine
• SQL

ATS Optimization Keywords

Hard Skills

• DevOps Engineering
• Data Ingestion
• Data Transformation
• Performance Monitoring
• Technical Issue Resolution

Soft Skills

• Collaborative Approach
• Proactive Problem Solving

Industry Keywords

• Cloud Environments
• Data Governance

Tools & Technologies

• GCP Cost Optimization
• Infrastructure Automation