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Open nowPosted 4 days agoWe saw it 65 min after it went up

Engenheiro de Dados Pleno

grupocriatto24 open roles

Where
Brasília, DF, BR
Work mode
Hybrid
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Your applicationOpen nowEngenheiro de Dados Plenogrupocriatto · Brasília, DF, 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.

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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. 57.8%60 days
This job: posted 4 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, manter e otimizar pipelines ETL/ELT, integrando dados de diferentes fontes e garantindo qualidade, segurança e confiabilidade. Construir e manter Data Lakes, Data Warehouses e arquiteturas Lakehouse, realizar modelagem de dados, orquestrar fluxos, monitorar ambientes produtivos e otimizar performance e custos em nuvem. Atuar em migrações, documentação, CI/CD e colaboração com equipes multidisciplinares, com autonomia e apoio técnico a profissionais júnior.

  • SQL avançado e otimização de consultas.
  • Python para engenharia de dados, incluindo PySpark, Pandas, Boto3 e NumPy.
  • AWS: S3, Glue, Glue Data Catalog, Athena, Redshift, Lambda, Step Functions, RDS e DynamoDB.
  • Apache Airflow e dbt para orquestração e transformação de dados.
  • Modelagem dimensional, bancos relacionais e fundamentos de NoSQL.
  • Arquiteturas Data Lake, Data Warehouse e conceitos de Lakehouse.
  • Git, pull requests, code review, testes com pytest e fundamentos de CI/CD.
  • Monitoramento com CloudWatch e segurança com IAM, KMS e Secrets Manager.
  • Fundamentos de migração de dados, infraestrutura como código (Terraform ou CloudFormation) e Machine Learning.
  • Conhecimentos desejáveis:
  • Kafka, Kinesis, MSK, CDC, Databricks, Delta Lake, Apache Iceberg/Hudi, Docker, Kubernetes, Terraform avançado, observabilidade, governança e linhagem de dados, AWS DMS/SCT, Power BI ou QuickSight e integração de modelos de Machine Learning.

Perfil esperado: profissional com autonomia para conduzir entregas de média complexidade, boa capacidade analítica, comunicação com áreas técnicas e de negócio e foco em qualidade, performance e confiabilidade dos dados.

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