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Open nowPosted 9 days ago

Engenheiro(a) de Dados Sênior | Databricks em AWS

Maxxi

Where
Brasil
Work mode
Remote
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Your applicationOpen nowEngenheiro(a) de Dados Sênior | Databricks em AWSMaxxi · Brasil

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Maxxi's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Maxxi postings stay open a median of 4 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 9 days ago

Maxxi median: 4 days open

The posting

Sobre a Maxxi

A Maxxi é uma consultoria de tecnologia que atua em transformação digital, desenvolvimento de software, dados & analytics, inteligência artificial e alocação de profissionais especializados. Conectamos pessoas qualificadas a projetos que geram valor real para nossos clientes.

Sobre a vaga

Buscamos um(a) Engenheiro(a) de Dados Sênior para atuar em um cliente do segmento do Agronegócio, liderando tecnicamente a implantação da plataforma Databricks em ambiente AWS.

O foco principal é implantar a plataforma Databricks do zero em AWS: conduzir a instalação, a configuração, a integração com o ecossistema de dados do cliente e a estruturação da governança. Buscamos alguém que já tenha liderado ou executado uma implantação de Databricks em AWS, e não apenas trabalhado em um ambiente já pronto. Em paralelo, a pessoa também vai desenvolver e sustentar pipelines de dados, garantindo que a plataforma seja usada de forma consistente e segura desde o início.

Principais responsabilidades

  • Conduzir a implantação do Databricks em AWS, da preparação do ambiente à entrada em operação.
  • Configurar workspaces, clusters, jobs e políticas de uso da plataforma.
  • Integrar o Databricks ao ambiente de dados do cliente e aos serviços AWS envolvidos (armazenamento, catálogo, segurança e acesso).
  • Estruturar a governança da plataforma: controle de acesso, permissões, organização de catálogos e boas práticas de uso.
  • Desenvolver, evoluir e sustentar pipelines de dados de ingestão e transformação.
  • Monitorar, investigar e corrigir falhas nos fluxos de dados em produção.
  • Documentar a arquitetura, as configurações e os padrões adotados.
  • Interagir com times técnicos e de negócio, inclusive em inglês.

Requisitos

  • Experiência prática comprovada em implantação e configuração do Databricks em AWS.
  • Experiência sênior em engenharia de dados.
  • Inglês para comunicação profissional.

Desejáveis

  • Python, PySpark e SQL.
  • AWS Glue e Apache Airflow.
  • Delta Lake.
  • Desenvolvimento e sustentação de pipelines de dados.

Diferenciais

  • Unity Catalog e governança de dados no Databricks.
  • Infraestrutura como código (Terraform) e CI/CD aplicados a dados.
  • Conhecimento de S3, IAM e redes em AWS.
  • Certificações Databricks ou AWS.
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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Maxxi's form

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    An application in CV Rocket: every answer filled in on the employer's form.

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    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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