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Open nowPosted 5 days agoWe saw it 63 min after it went up

Engenheiro de Dados Junior

grupocriatto24 open roles

Where
São Paulo - SP, São Paulo, BR
Work mode
Hybrid
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Your applicationOpen nowEngenheiro de Dados Juniorgrupocriatto · São Paulo - SP, São Paulo, BR
  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 grupocriatto'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. grupocriatto postings stay open a median of 2 days.

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 5 days ago

grupocriatto median: 2 days open

The posting

O Grupo Criatto é uma consultoria de Recrutamento e Seleção especializada em tecnologia, atuando com grandes clientes no Brasil e nos Estados Unidos.

Esta oportunidade é para atuação em um de nossos clientes, que vive um forte momento de expansão e crescimento, com diversas novas posições abertas em seu time.

A empresa é referência em soluções Cloud e transformação digital, sendo reconhecida como AWS Advanced Partner e destaque no ecossistema AWS, figurando entre os principais parceiros da América Latina e do Brasil.

Responsabilidades:

Desenvolver e manter pipelines ETL/ELT de baixa complexidade, integrar dados de arquivos, APIs e bancos de dados, realizar limpeza, transformação e validação de dados e criar scripts de automação com Python e SQL. Apoiar a estruturação de Data Lakes e Data Warehouses, monitorar pipelines, corrigir falhas conhecidas, documentar processos e aplicar boas práticas de qualidade, segurança e versionamento. Atuar em colaboração com equipes técnicas e de negócio, com autonomia crescente e orientação conforme a complexidade das atividades.

Requisitos técnicos essenciais:

  • SQL: consultas, JOINs, agregações, subqueries e noções de otimização.
  • Python: scripts de ETL/ELT, Pandas e Boto3.
  • Fundamentos de Shell Script e automação.
  • Bancos relacionais (PostgreSQL ou MySQL) e noções de NoSQL (DynamoDB).
  • Conceitos de ETL/ELT, pipelines, modelagem de dados, Data Lake e Data Warehouse.
  • AWS básico: S3, RDS, Glue, Athena e Lambda.
  • Noções de IAM, segurança em nuvem, CloudWatch e interação com serviços AWS.
  • Git, branches, commits, pull requests e resolução básica de conflitos.
  • Testes unitários básicos com pytest e noções de orquestração com Airflow ou Step Functions.
  • Documentação técnica e validação da qualidade e integridade dos dados. Conhecimentos desejáveis: Experiência ou familiaridade com Power BI, Amazon QuickSight ou outras ferramentas de BI, preparação de datasets para dashboards, validação de indicadores e manutenção de visualizações simples. Perfil esperado: profissional com conhecimentos fundamentais em Engenharia de Dados, capacidade analítica, organização, comunicação clara, disposição para aprender e evoluir tecnicamente, trabalhando com orientação e ampliando sua autonomia progressivamente.
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    The review screen in CV Rocket: how each CV was read, round by round.
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