
B2B • Productivity • Construction
Vobi is a comprehensive project management platform designed specifically for the architecture and construction industries. It simplifies project oversight, financial management, and communication between teams and clients, enabling businesses to maximize efficiency and profitability. With tools for budget planning, task management, document organization, and a mobile application for on-the-go access, Vobi provides businesses with a centralized solution to streamline their operations and improve client engagement.
Yesterday

B2B • Productivity • Construction
Vobi is a comprehensive project management platform designed specifically for the architecture and construction industries. It simplifies project oversight, financial management, and communication between teams and clients, enabling businesses to maximize efficiency and profitability. With tools for budget planning, task management, document organization, and a mobile application for on-the-go access, Vobi provides businesses with a centralized solution to streamline their operations and improve client engagement.
• Desenvolver e manter pipelines de transformação de dados usando Python e AWS Lambda, s3, Glue e Athena • Trabalhar com a arquitetura de data lake em camadas, garantindo a qualidade e governança dos dados • Auxiliar na modelagem e estruturação de dados para consumo via Amazon Athena • Monitorar a saúde dos pipelines e resolver incidentes relacionados ao fluxo de dados • Documentar processos, fluxos de dados e soluções implementadas • Colaborar com analistas entender necessidades de negócio
• Graduação em Ciência da Computação, Engenharia, Sistemas de Informação ou áreas relacionadas (cursando ou completo) • Conhecimento e/ou experiência em Python (intermediário) • Conhecimento e/ou experiência em SQL (básico) • Compreensão de conceitos de bancos de dados e modelagem de dados • Familiaridade com versionamento de código (Git) • Diferenciais: Experiência com AWS (S3, Lambda, Glue, Athena) • Conhecimento em formatos de dados colunares (Parquet, ORC) • Familiaridade com conceitos de Data Lake e arquitetura em camadas • Experiência com ferramentas de orquestração (Airflow, Step Functions) • Conhecimento em Spark/PySpark
• Remuneração competitiva em relação ao mercado; • Possibilidade de participação societária; • Ambiente descontraído, com muitas oportunidades de crescimento e suporte para desenvolver sua carreira; • Happy Hours mensais e confraternizações presenciais semestrais; • Gympass; • Day off de aniversário; • Trabalho remoto e flexível; • Liberdade para propor novas ideias e assumir grandes responsabilidades.
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