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SysMap Solutions

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Engenheiro de Dados Sênior

Data EngineerData EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 1999Company SiteLinkedIn

Location

Brazil

Posted

14 days ago

Salary

0

Seniority

Senior

Job Description

Engenheiro de Dados Sênior

SysMap Solutions

• 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.

Job 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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