Global TI
51 - 200 employees
Founded 2001
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Global TI is an experienced Brazilian IT services and solutions provider with over 24 years serving large enterprises nationwide. The company delivers infrastructure planning and migration (on-premises, hybrid and cloud), process automation (including RPA), data management and analytics, AI-powered solutions, custom application development, innovation and IT governance services, and specialist staff allocation. Global TI positions itself as a strategic B2B partner focused on technology-driven transformation, compliance-aware migrations (e. g. , CNPJ alphanumeric readiness), and tailored solutions to boost operational efficiency and business outcomes.
Engenheiro de Dados
🔥 15 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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Global TI
51 - 200 employees
Founded 2001
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Global TI is an experienced Brazilian IT services and solutions provider with over 24 years serving large enterprises nationwide. The company delivers infrastructure planning and migration (on-premises, hybrid and cloud), process automation (including RPA), data management and analytics, AI-powered solutions, custom application development, innovation and IT governance services, and specialist staff allocation. Global TI positions itself as a strategic B2B partner focused on technology-driven transformation, compliance-aware migrations (e. g. , CNPJ alphanumeric readiness), and tailored solutions to boost operational efficiency and business outcomes.
📋 Description
• Criar as integrações • Construir os pipelines de ingestão • Desenvolver os processos de transformação que movimentam os dados desde a fonte até as camadas de consumo • Extrair dados brutos das plataformas atuais da Gobrax: HubSpot, Odoo, Omie, CHS e do banco de dados da plataforma V3 • Desenvolver lógicas de padronização, validação de qualidade, deduplicação e relacionamento de entidades na camada Silver
🎯 Requirements
• Proficiência no desenvolvimento de pipelines utilizando Apache Spark • Conhecimento em processamento em lote (Batch) e em tempo real (Streaming) • Experiência prática com Apache Kafka e Amazon Kinesis • Domínio de Python, Scala e SQL avançado • Familiaridade com formatos CSV, JSON e TXT • Capacidade técnica para extrair dados de HubSpot, Odoo, Omie, CHS e do banco de dados da plataforma V3 • Habilidade para desenvolver padronização, validação de qualidade, deduplicação e relacionamento de entidades • Experiência com serviços de dados e armazenamento da AWS
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