* 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

Join our team as a Lead Data DevOps Engineer specializing in Google Cloud Platform, focusing on cloud-based data infrastructure and automation. You will take charge of building scalable data systems and streamlining deployment pipelines. Apply now to become a key contributor to our data platform excellence.

Responsibilities

Create and maintain cloud data architectures using GCP services like DataFlow, GCS, BigQuery, Dataproc, and Cloud Composer
Implement infrastructure provisioning and monitoring via IaC tools such as Terraform
Partner with data engineers to develop automated, efficient data workflows using Python
Configure CI/CD pipelines with Jenkins, GitLab CI, or GitHub Actions for seamless deployment
Collaborate with multiple teams to enhance the reliability and performance of data platforms
Support management of cloud data tools including Apache Spark, Apache Kafka, and Apache Airflow
Diagnose and fix problems to maintain scalable and reliable cloud data environments

Requirements

Minimum 5 years experience working in cloud environments, particularly with GCP services like BigQuery, Cloud Composer, and Dataproc
Advanced Python skills combined with SQL expertise for data pipeline construction
Knowledge of IaC solutions such as Terraform or AWS CloudFormation
Experience in creating CI/CD workflows with Jenkins, GitHub Actions, or GitLab CI
Background in Linux systems and shell scripting
Understanding of networking principles such as TCP/IP, DNS, and NAT
Proven skills in operating Apache Spark, Apache Airflow, or ELK Stack

Nice to have

Hands-on familiarity with AWS or Azure services including ECS, S3, Data Lake, or Synapse
Capability to use additional IaC tools like Ansible
Experience with other data workflow automation technologies