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Open nowPosted 285 days ago

Banco de Talentos 2026: Engenheiro de Dados JR/PL/SR

WeCogno4 open roles

Where
Florianópolis, Santa Catarina, BR, Remote
Work mode
Remote
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Your applicationOpen nowBanco de Talentos 2026: Engenheiro de Dados JR/PL/SRWeCogno · Florianópolis, Santa Catarina, BR, Remote

  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 WeCogno'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.

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. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 285 days ago

The posting

O Banco de Talentos é um espaço de candidatura e adiantamento de algumas etapas mais básicas do processo seletivo para quem aguarda uma vaga como Engenheiro de Dados PL/SR.

Quer fazer parte de um time de excelência, colaborativo, que sabe que desistir não é uma opção e acredita que tudo é possível? Então a WeCogno pode ser sua próxima oportunidade!

Se você está procurando uma vaga para fazer parte do nosso time, mas ainda não achou nenhuma com seu perfil, se inscreva aqui.

Reservamos esta para você compartilhar seu perfil conosco e quando tivermos novas oportunidades que tenham match com suas skills, entraremos em contato.

Principais atividades:

  • Atuar como Consultor em projetos de Consultoria, analisando a plataforma de dados, identificando oportunidades e propondo melhorias;
  • Planejar, programar e implantar pipeline de dados no Data Lake (Big Data);
  • Integrar diversos sistemas de APIs de parceiros;
  • Desenvolver, testar e fazer a manutenção de arquiteturas de bancos de dados e sistemas em tempo real ou de forma distribuída;
  • Planejamento e execução em saneamento dos dados.

Buscamos alguém com:

  • Experiência com ingestão de dados (preparação, tratamento e disponibilização de dados para ambiente analítico);
  • Experiência com linguagem Python e banco de dados SQL;
  • Conhecimento em bibliotecas para análise de dados (Pandas e Spark);
  • Experiência de orquestração de processos com Airflow;
  • Conhecimento de cloud (Oracle, AWS, Azure ou GCP).

Serão diferenciais:

  • Conhecimento em Kubernetes;
  • Construção e manutenção de APIs REST.

O que oferecemos:

  • Flexibilidade! Nosso time é remoto, você pode trabalhar onde quiser;
  • Plano de saúde e odontológico SulAmérica (sem custo para o titular) - após entrar no plano, terá TotalPass e Subsídio de até R$200 para medicamentos tarjados;
  • Wellhub (antiga Gympass);
  • Conexa Saúde & Psicologia Viva;
  • Parceria Corporativa com a Open English (descontos em cursos de Inglês & Espanhol);
  • Caju: Auxílio Home Office de R$400;
  • Recesso remunerado de 22 dias úteis/ano;
  • Day off de aniversário;
  • Modelo de contratação PJ.
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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 WeCogno's form

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

  4. Every reply, sorted

    WeCogno's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

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

  5. Reply with AI

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  6. The interview in your calendar

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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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