Data Architect Specialist

Há 22 horas

Fortaleza, Ceará, Brasil beBeeDataEngineer Tempo inteiro R$60.000 - R$120.000
Job Description

In this role, you will have the opportunity to work in one of our client-facing teams, delivering deep technical expertise to a wide range of public and private sector clients worldwide.


As a Data Engineer, you will be responsible for designing, implementing, and maintaining distributed data pipelines using tools such as Dataproc, PySpark, and Dataflow. You will also be working with large volumes of data, ensuring performance and scalability.


  • Design, implement, and maintain distributed data pipelines using tools such as Dataproc, PySpark, and Dataflow
  • Model and manage large volumes of data, ensuring performance and scalability
  • Work with containers and master orchestration solutions, such as Kubernetes
  • Apply good software development practices: clean code, implementation of tests, version control (Git), and documentation
  • Participate in the development and maintenance of modern CI/CD processes for automating integrations and deployments

Required Skills and Qualifications
  • Proven experience in data modeling and advanced knowledge of SQL
  • Practical experience in Cloud environments, preferably Google Cloud Platform (GCP)
  • Previous experience in data architectures and building pipelines in Cloud environments
  • Solid experience in distributed data processing, using tools like Dataproc, PySpark, and Dataflow
  • Established practice in applying good software practices, including clean code, implementation of automated testing, version control, and documentation
  • Experience in the use of container technology (such as Docker) and container orchestration, preferably Kubernetes
  • Track record of working with processing and analyzing large volumes of data
  • Experience in environments that adopt modern continuous integration and continuous delivery (CI/CD)

Benefits

This is an excellent opportunity to grow your career and contribute to innovative projects in a collaborative environment.


Others
  • Mid-Senior level position
  • Full-time employment
  • Information Technology job function
  • IT Services and IT Consulting industries

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