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Data Architect

3 meses atrás

Rio de Janeiro, Rio de Janeiro, Brasil TIM Brasil Tempo inteiro
Id da vaga: 23339 Cargo: Data Architect - Especialista Diretoria:

Chief Information Officer Breakdown:
Data Solutions UO:

Data Architecture Regional:

TIM SA

Headquarter Estado:

RIO DE JANEIRO Cidade: RIO DE JANEIRO DESCRIÇÃO DO PERFIL Responsável por construir, otimizar e manter modelos conceituais e lógicos de banco de dados.

ATIVIDADES

  • Garantir o desenho de soluções em escalas e plataformas capazes de gerenciar grandes quantidades de dados, estruturados e não estruturados, mesmo em modo de real time, através da escolha correta de arquiteturas de referência
  • Garantir uma arquitetura de dados horizontal que fomente o reuso de soluções por diversas áreas da companhia otimizando os custos de implantação e de operação
  • Desenhar soluções que garantam toda a governança, privacidade e qualidade dos dados
  • Garantir a aplicação das políticas da empresa em termos de privacidade e segurança no acesso aos dados
  • Descrever as tecnologias específicas em termos de integração entre componentes e fluxos lógicos de interação
  • Supervisionar a inovação tecnológica e promover a sua aplicação através da elaboração de relatórios de prospecção tecnológica e análise de oportunidades
  • Observar as tendências tecnológicas emergentes e dar indicações sobre as melhores práticas
  • Colaborar na identificação de oportunidades de melhoria por meio de integrações e substituições de sistemas legados
  • Desenvolver protótipos e proof of concept em projetos de inovação
  • Contribuir com a disseminação de uma cultura de Data-Driven Decision na companhia, fazendo interface entre áreas técnicas e as diversas áreas de negócio FORMAÇÃO E EXPERIENCIA Formação superior em Ciência da Computação, Engenharia de Dados, Sistemas de Informação ou áreas correlatas.
  • Conhecimento sobre pipeline de dados e todas as suas fases, desde a ingestão até tomada de decisão
  • Conhecimento técnico de estruturas de dados (Bancos Relacionais, Não Relacionais e Big Data)
  • Profundo conhecimento de soluções de nuvem, especialmente em Google Cloud Platform (GCP);
  • Experiência sólida em arquitetura de dados, especialmente em ambientes GCP e Azure;
  • Linguagens de programação (SQL, Shell Script, Pyhton, Java, etc.)
  • Experiência prática com implementação de Integração Contínua/Entrega Contínua (CI/CD);
  • Ferramentas de visualização e exploração de dados (Power BI, Tableau, SAS, Data Studio etc)
  • Metodologias desenvolvimento lean/agile
  • Experiência na coleta e análise de requisitos do sistema
  • Database management
  • Data Mining