* Salário: R$ 18.000 a R$ 30.000 por mês (estimado)

* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.

Área: Tecnologia da Informação

Nível: Gerente

We are hiring a Lead Data DevOps Engineer with strong Google Cloud Platform expertise to lead cloud data infrastructure initiatives. You will focus on automating and optimizing data workflows while maintaining high availability. Come join us to shape the future of our data platforms.

Responsibilities

Architect scalable cloud data systems using GCP services such as DataFlow, GCS, BigQuery, Dataproc, and Cloud Composer
Utilize Infrastructure as Code tools like Terraform to deploy and monitor infrastructure
Collaborate with data engineering teams to automate data workflows leveraging Python
Build and maintain CI/CD pipelines with Jenkins, GitLab CI, or GitHub Actions for efficient deployments
Work with cross-disciplinary teams to optimize data platform performance and reliability
Administer cloud-based data tools including Apache Spark, Apache Kafka, and Apache Airflow
Identify and resolve issues to ensure the robustness and scalability of cloud data solutions

Requirements

Over 5 years of experience in cloud platforms, mainly using GCP services such as BigQuery, Cloud Composer, and Dataproc
Proficient in Python programming and SQL for building data pipelines
Experience with Infrastructure as Code frameworks like Terraform or CloudFormation
Skill in constructing CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI
Experienced with Linux environments and scripting
Knowledge of network fundamentals including TCP/IP, DNS, and NAT
Competent in deploying tools like Apache Spark, Apache Airflow, or ELK Stack

Nice to have

Familiarity with other cloud platforms like AWS or Azure, including ECS, S3, Data Lake, or Synapse
Ability to work with IaC tools such as Ansible
Background in various data workflow automation tools