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Open nowPosted 18 hours ago

Engenheiro de Dados — Sênior/Especialista

CXP Brasil

Where
São Paulo, Brazil
Work mode
Hybrid
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Your applicationOpen nowEngenheiro de Dados — Sênior/EspecialistaCXP Brasil · São Paulo, Brazil

  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 CXP Brasil's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 18 hours ago

The posting

Buscamos um Engenheiro de Dados (Sênior/Especialista) para construir e otimizar pipelines de dados, projetar e manter arquiteturas de dados escaláveis, garantir qualidade e governança (incluindo LGPD), integrar sistemas e monitorar a performance dos fluxos de dados.

Responsabilidades e atribuiçõesConstrução de Pipelines (ETL / ELT): desenvolver, implementar e otimizar processos de extração,transformação e carga de dados de diversas fontes.Arquitetura de Dados: projetar e manter Data Lakes, Data Warehouses e bancos de dados relacionais ou não-relacionais escaláveis.Qualidade e Governança: garantir a integridade, padronização, segurança e conformidade (como LGPD) dos dados manipulados.Integração de Sistemas: conectar diferentes áreas, APIs e sistemas legados ou em nuvem para centralizar a base de informações.Monitoramento e Performance: acompanhar a performance dos fluxos de dados, solucionando gargalos e falhas de processamento.Requisitos e qualificaçõesLinguagens de Programação: domínio de Python (Spark é mandatório), além de SQL avançado (experiência de pelo menos 8 anos).Computação em Nuvem: experiência prática de pelo menos 3 anos em plataformas como AWS (ex.: S3,Glue, EMR, Athena, Lambda, SQS, RDS Postgres/SQL Server, DynamoDB) e/ou Azure (Functions,DataBricks, Fabric: OneLake, Data Factory, Synapse, Power BI).Modelagem de Dados: conhecimento em modelagem relacional, dimensional (Star Schema) e NoSQL.Ferramentas de Engenharia: familiaridade com orquestradores (Step Functions, Workflows Glue, Data Factory), controle de versão (Git) e contêineres (Docker).Formação: ensino superior completo em Ciência da Computação, Engenharia, Sistemas de Informação ou áreas afins. Especialização em BigData e/ou Engenharia de Dados.Informações adicionaisPensamento analítico e resolução de problemas complexos.Boa comunicação para traduzir necessidades de negócio em soluções técnicas.Proatividade e capacidade de trabalhar em equipes multidisciplinares e ágeis (Scrum/Kanban).

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