Runtalent
B2B • HR Tech • SaaS
Runtalent is a technology services company that specializes in the allocation of qualified professionals across various tech platforms for project needs. They focus on agile squads and managed services, ensuring operational efficiency and project success. With over 20 years in the market, Runtalent has established a strong talent pool and collaborates with multiple industries including finance, healthcare, and entertainment to provide tailored solutions for each client.
501 - 1000 employees
Founded 2003
🤝 B2B
👥 HR Tech
☁️ SaaS
Engenheiro de Dados Sênior
Job not on LinkedIn
September 7
🗣️🇧🇷🇵🇹 Portuguese Required
Runtalent
B2B • HR Tech • SaaS
Runtalent is a technology services company that specializes in the allocation of qualified professionals across various tech platforms for project needs. They focus on agile squads and managed services, ensuring operational efficiency and project success. With over 20 years in the market, Runtalent has established a strong talent pool and collaborates with multiple industries including finance, healthcare, and entertainment to provide tailored solutions for each client.
501 - 1000 employees
Founded 2003
🤝 B2B
👥 HR Tech
☁️ SaaS
📋 Description
• Construir, projetar e manter pipelines de dados eficientes, seguros e escaláveis na plataforma Microsoft Azure • Garantir integração, transformação e disponibilização de dados para modelos analíticos • Colaborar com cientistas de dados, analistas e engenheiros de software para garantir pipelines confiáveis e dados acessíveis para análises avançadas • Aplicar práticas DevOps/CI-CD ao ciclo de vida dos dados usando Azure DevOps • Focar em performance, qualidade e segurança dos dados, incluindo conformidade com LGPD • Atuar em projetos Data Lakehouse e soluções de big data
🎯 Requirements
• Experiência com arquiteturas de dados modernas, como Data Lakehouse • Práticas DevOps e CI/CD aplicadas ao ciclo de vida dos dados com Azure DevOps • Foco em performance, qualidade e segurança dos dados • Conhecimento em LGPD e boas práticas de proteção de dados • Atuação colaborativa com cientistas de dados, analistas e engenheiros de software • Experiência em projetos de dados na nuvem na plataforma Microsoft Azure • Experiência em design, desenvolvimento, implantação e manutenção de pipelines de dados eficientes, seguros e escaláveis • Domínio em Azure Integration Runtime, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks, Azure SQL Database e Azure Blob Storage • Habilidades em SQL, Python e PySpark • Forte capacidade em modelagem de dados, governança, versionamento e orquestração de dados em ambientes big data • Nível Sênior
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