Data Engineer
3 semanas atrás
Quem somos:
A Dexian é uma consultoria global de origem Americana focada em talentos para complementar a equipe de tecnologia da informação de nossos clientes. Estamos presente em 10 países, com 45 escritórios ao redor do mundo. Por mais de 25 anos, a Dexian® atende indústrias e clientes globais, em diversas áreas, com a missão de atrair e reter os maiores talentos do mundo.
Hoje somos orgulhosamente reconhecidos como uma das maiores empresas de “staffing augmentation” dos Estados Unidos pela Staffing Industry Analysts (SIA). Também somos uma Minority Owner Company e nos sentimos orgulhosos de termos nascido na diversidade.
No Brasil, chegamos em 2007 e, de lá para cá, conquistamos mais de 50 clientes de diferentes setores da economia.
O que esperar de nós:
É importante que você saiba que por trás de cada movimento Dexian existem cinco valores fundamentais: colaboração, respeito, justiça, comprometimento e engenhosidade. Colaboração, justiça e respeito não são apenas palavras; comprometimento não é só um pensamento; e engenhosidade vai além de aspiração. Essas qualidades nos definem em todos os níveis, todas as parcerias e na forma como trabalhamos todos os dias. Compartilha dos mesmos valores, aqui é seu lugar Que tal desenvolver sua carreira conosco?
A Dexian do Brasil incentiva a DIVERSIDADE. Nossas oportunidades também estão disponíveis para candidatura de pessoas com deficiência e reabilitados.
Atividades:
Engenheiro de Dados para desenvolver modelos de dados interoperáveis e apoiar a escalabilidade de plataformas atuais e futuras. O Engenheiro de Dados trabalhará para construir e/ou desenvolver conhecimento suficiente para apoiar as atividades gerais de Dados e a estratégia de dados. Para atingir esses objetivos, ele precisará analisar as arquiteturas de dados atuais e projetar as arquiteturas de dados futuras desejadas, identificando possíveis atividades para preencher as lacunas e projetar o estado futuro dos nossos dados.
Requisitos:
MS SQL Server(Azure).
Snowflake.
Vivência com SQL Server, SQL query e ferramentas de modelagem de dados.
Conhecimento em Azure (Data Factories, data connectivity).
Vivência com arquitetura e design de dados.
Vivência no desenvolvimento de arquitetura de dados, modelagem de dados, criação de perfil, análise de qualidade de dados, construção de glossários de dados de negócios e catálogos de dados.
Conhecimento em governança da Dados.
Compreensão de grandes tecnologias de repositório de dados (Data Lakes, Data Warehouse, Data Hubs, etc.)
Conhecimento de XML, JSON, Python; compreender conceitos de API e arquitetura de integração
Experiência trabalhando com equipes de entrega ágeis.
Necessário inglês avançado para conversação, atuação com times globais.
Atuação 100% remota
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