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Open nowPosted 51 days ago

Engenheiro de Dados Pleno

Strada16 open roles

Where
Brasil
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Your applicationOpen nowEngenheiro de Dados PlenoStrada · Brasil
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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Strada postings stay open a median of 11 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 51 days ago

Strada median: 11 days open

The posting

Procuramos uma pessoa para a posição de Engenheiro(a) de Dados Pleno, com o desafio de estruturar a infraestrutura, garantindo autonomia às áreas de negócio.

Atividades: - Desenvolver, manter e evoluir pipelines de dados end-to-end para ingestão, tratamento e disponibilização de dados nas camadas Bronze, Silver e Gold do Datalake, garantindo qualidade e performance das entregas. - Construir, otimizar e propor melhorias em rotinas de ETL/ELT com PySpark e SQL sobre a plataforma Databricks, aplicando e evoluindo os padrões de arquitetura Medallion definidos pelo time. - Conduzir a integração de dados a partir de múltiplas fontes: bancos relacionais (SQL Server, PostgreSQL, Oracle), APIs REST, arquivos e sistemas transacionais (ERP Sankhya), com autonomia para definir a melhor abordagem técnica em cada caso. - Atuar na migração de cargas e modelos do BigQuery/GCP para o ambiente AWS/Databricks, contribuindo com decisões técnicas e na identificação de riscos e pontos de atenção. - Definir e implementar rotinas de qualidade de dados, testes e validações, monitorando a consistência e a completude das entregas e propondo melhorias contínuas nos processos de validação. - Monitorar a execução de jobs e orquestrações (Airflow), atuando com autonomia na identificação, diagnóstico e correção de falhas nos pipelines. - Documentar e manter atualizados fluxos, tabelas, dicionários de dados e regras de negócio no catálogo corporativo (Unity Catalog), zelando pela qualidade da documentação do time. - Aplicar e disseminar as diretrizes de Governança de Dados, segurança e controle de acesso definidas pela área. - Atuar como referência técnica para analistas de dados e áreas de negócio, apoiando na disponibilização, no entendimento e na correta utilização dos dados modelados. - Participar ativamente das cerimônias do time e das rotinas de sustentação, propondo e conduzindo iniciativas de melhoria contínua de performance e custo dos processos.

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