Engenheiro de Dados Sênior
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Job Description
Engineering Data Engineer at Grupo SysMap developing scalable data pipelines in AWS, Azure, and GCP environments. Collaborating on modern data architectures and implementing data ingestion processes.
Responsibilities:
- Desenvolver e sustentar pipelines de dados escaláveis em ambientes multicloud (AWS, Azure e GCP);
- Atuar na construção e evolução de arquiteturas de dados modernas, incluindo Data Lakes e ambientes analíticos;
- Implementar processos de ingestão, transformação e disponibilização de dados utilizando ETL/ELT;
- Desenvolver automações e orquestrações de pipelines com ferramentas e frameworks modernos;
- Trabalhar com grandes volumes de dados estruturados e não estruturados;
- Garantir qualidade, governança e segurança dos dados conforme boas práticas e diretrizes corporativas;
- Atuar na implementação de políticas relacionadas à LGPD, anonimização e proteção de dados;
- Apoiar times analíticos e de negócio na disponibilização de informações estratégicas;
- Participar da modelagem de dados e otimização de performance de consultas e pipelines;
- Contribuir na construção de dashboards e soluções analíticas voltadas à tomada de decisão;
- Trabalhar em conjunto com arquitetos, cientistas de dados, analistas e equipes de engenharia.
Requirements:
- Experiência sólida como Engenheiro(a) de Dados em projetos corporativos;
- Vivência prática em ambientes multicloud: AWS, Azure e GCP;
- Experiência com desenvolvimento de pipelines ETL/ELT;
- Domínio de Python e SQL;
- Experiência com PySpark para processamento distribuído;
- Vivência com orquestração de workflows utilizando Apache Airflow;
- Conhecimento em serviços serverless e automações em nuvem, como Cloud Functions;
- Experiência na construção e manutenção de Data Lakes;
- Conhecimento em modelagem de dados e arquitetura analítica;
- Vivência com governança, qualidade e segurança de dados;
- Conhecimento prático em LGPD, anonimização e tratamento de dados sensíveis;
- Experiência com Git e boas práticas de versionamento;
- Pós-graduação ou especialização em Big Data, Engenharia de Dados ou áreas correlatas;
- Experiência com ferramentas de visualização como Power BI e Tableau;
- Conhecimento em DataOps e CI/CD para dados;
- Vivência com plataformas de streaming e processamento em tempo real;
- Experiência com Databricks, Snowflake ou BigQuery;
- Certificações cloud (AWS, Azure ou Google Cloud);
- Conhecimento em arquitetura orientada a eventos e microsserviços de dados.
Benefits:
- Vaga também para PcD
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