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Open nowPosted 11 hours ago

Estagiário(a) em Engenharia de Dados

Gupy (Portal de Vagas)80,213 open roles

Where
São Paulo, Brazil
Work mode
Hybrid
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Your applicationOpen nowEstagiário(a) em Engenharia de DadosGupy (Portal de Vagas) · 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 Gupy (Portal de Vagas)'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.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Gupy (Portal de Vagas) postings stay open a median of 3 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.2%30 days
This job: posted 11 hours ago

Gupy (Portal de Vagas) median: 3 days open

The posting

Você é apaixonado(a) por dados e pelo conhecimento valioso que eles podem trazer? Acredita que tomar decisões com base em números é muito mais estratégico? Então temos uma vaga pra você!O time de engenharia de dados aqui na Youse trabalha em forte colaboração com todas as outras áreas (Produtos, Financeiro, Pricing, MKT, Vendas, Operações e muitas mais!) tendo papel fundamental no direcionamento do nosso negócio! E aí, vamos nessa?

Responsabilidades e atribuições📝 Como vai ser o seu dia a dia?  Aprender na prática, colocando a mão na massa e operando em ambientes de nuvem ao lado de um time experiente.Apoiar a construção, execução e monitoramento dos nossos pipelines de dados (ETL/ELT).Escrever queries em SQL para extração, validação e cruzamento de informações.Desenvolver scripts em Python para automatizar tarefas diárias e conectar diferentes fontes de dados.

Requisitos e qualificações💡 Se liga no que precisa ter/saber: Lógica e Código: Conhecimento acadêmico ou prático em Python (saber criar scripts e manipular estruturas de dados básicas).Linguagem SQL: Familiaridade em escrever consultas relacionais (com SELECTs, JOINs, subqueries e agregações).Nuvem: Noções de Cloud Computing (AWS, Google Cloud ou Azure) –  importante entender os conceitos básicos.Perfil: Curiosidade genuína e olhar investigativo. Buscamos alguém com forte espírito de equipe e boa comunicação, que não tenha receio de fazer perguntas na hora de resolver problemas. Acima de tudo, é essencial ter muita energia e disposição para absorver novos conhecimentos todos os dias.DiferenciaisProjetos pessoais ou acadêmicos na área de dados (ex: um script simples de web scraping, análises de dados ou um repositório ativo no GitHub).Noções de versionamento de código (Git/GitHub).Interesse em entender como a Engenharia de Dados se conecta com iniciativas de Inteligência Artificial.

Informações adicionaisModelo de Trabalho: Híbrido (2x Presencial e 3x remoto)Jornada: 6h/diaRegime de Contratação: Contrato de estágio.Local: Pinheiros/SP

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