* Salário: R$ 11.000 a R$ 20.000 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: Senior
Join our team as a Senior Data DevOps Engineer with AWS expertise to architect and optimize scalable cloud data infrastructures. You will lead infrastructure automation strategies, mentor teammates, and work closely with cross-functional groups to deliver robust cloud data solutions. We invite you to apply and contribute your expertise to our innovative projects.
Responsibilities
- Architect and deploy scalable data infrastructure using AWS services including ECS, RDS, Athena, Glue, S3, EBS, CloudFormation, IAM, and Redshift
- Automate infrastructure workflows leveraging Infrastructure as Code tools such as Terraform and AWS CloudFormation
- Collaborate with data engineering and analytics teams to optimize large data pipelines with Python and AWS Glue
- Define best practices and manage CI/CD pipelines adapted to AWS environments using GitHub Actions, AWS CodePipeline, Jenkins, or similar
- Enhance cloud data platform performance, reliability, scalability, and cost efficiency
- Integrate and evaluate advanced data processing tools like Apache Airflow and Apache Spark on AWS EMR
- Diagnose and resolve complex issues in AWS-hosted systems, performing root cause analysis for critical problems
- Implement strong data security measures including IAM, encryption, and AWS compliance best practices
- Conduct capacity planning, resource tuning, and cost management for data platform components
- Guide and mentor team members while promoting best practices
Requirements
- At least 3 years of professional experience in Data Engineering, DevOps, or related areas focused on cloud infrastructure and automation
- Advanced Python programming skills for automation and workflow optimization
- Strong SQL skills for large-scale data management
- Extensive experience with AWS data infrastructure tools such as Redshift, Glue, EMR, and Athena
- Proficiency with Infrastructure as Code tools including Terraform, AWS CloudFormation, or Ansible
- Experience implementing CI/CD pipelines using Jenkins, GitHub Actions, AWS CodePipeline, or others
- Hands-on expertise with distributed data processing and orchestration using Apache Spark and Apache Airflow
- Advanced Linux administration and tuning experience in cloud settings
- Solid understanding of networking protocols like TCP, UDP, ICMP, DNS, and NAT in cloud environments
- Experience automating large-scale infrastructure deployment with Terraform or equivalent
- Proven skills installing and managing data platforms such as Apache Kafka and NiFi
- Ability to lead complex projects and support junior and mid-level team members
- Professional English proficiency at B2 level or higher
Nice to have
- Experience with other cloud platforms such as Azure or GCP and hybrid cloud architectures
- Knowledge of statistical and data visualization tools like R, Tableau, or Power BI
- Familiarity with advanced CI/CD tools such as Bamboo
- Experience with hybrid cloud and on-premises data solutions ensuring secure, scalable flows
- Background in container orchestration technologies including Kubernetes, Docker, or AWS ECS/EKS