Data engineer pleno
4 semanas atrás
- Domínio em Python para desenvolvimento e automação de pipelines de dados;
- Experiência sólida com GitHub (versionamento, pull requests, integração com CI/CD);
- Domínio em SQL para manipulação de grandes volumes de dados;
- Conhecimento em integração com APIs RESTful e manipulação de arquivos estruturados (CSV, JSON, Parquet);
- Vivência com ferramentas e serviços de cloud computing (preferencialmente GCP, mas experiências em AWS ou Azure também são bem-vindas);
- Familiaridade com boas práticas de engenharia de software, como modularização de código, logging, testes e tratamento de erros.
No nosso Data Hub, você terá o desafio de:
- Desenvolver e manter pipelines de dados eficientes, escaláveis e confiáveis, com foco em processos de ingestão, transformação e modelagem;
- Participar da definição e evolução de arquiteturas de dados modernas, com ênfase em ambientes cloud (GCP);
- Automatizar fluxos de dados entre APIs, bancos de dados relacionais e não relacionais, assegurando integração contínua e segura;
- Atuar em parceria com os times de BI, Analytics e MarTech, garantindo a qualidade, disponibilidade e governança dos dados;
- Criar e gerenciar fluxos de orquestração e versionamento de dados, utilizando ferramentas como Airflow, Cloud Functions, Pub/Sub, entre outras;
- Executar análises de performance e troubleshooting, otimizando consultas SQL e estruturas de armazenamento em plataformas como BigQuery;
- Documentar processos e estruturas técnicas com foco em escalabilidade, reprodutibilidade e alinhamento com boas práticas de engenharia de dados.
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