Data Engineering Analyst Full
3 semanas atrás
Job description Quer fazer a diferença na nova economia e transformar pessoas e negócios para prosperarem? Vem pra Cadastra Como Data Engineer , você atuará em projetos de transformação digital para clientes. Desenvolverá soluções de dados usando GCP, Databricks, Python e SQL, construindo pipelines robustos que conectam múltiplas fontes e geram inteligência competitiva. Essa posição é para atuar de forma Remoto . Main responsibilities No nosso Data Hub você terá o desafio de: Desenvolver e manter pipelines ETL/ELT escaláveis em GCP (BigQuery, Dataflow, Cloud Storage, Composer/Airflow) e Databricks (Delta Lake, arquitetura medalhão Bronze/Silver/Gold); Atuar em múltiplos projetos de clientes, desenvolvendo soluções personalizadas; Trabalhar de forma consultiva junto aos times dos clientes, entendendo necessidades de negócio e traduzindo em soluções técnicas Implementar integrações com APIs de plataformas de marketing, CRM, e-commerce e terceiros para ingestão de dados em tempo real e batch Colaborar com equipes multidisciplinares (cientistas de dados, analistas, desenvolvedores, áreas de negócio) e atuar como facilitador para adoção de melhores práticas. Implementar governança, segurança e qualidade de dados, garantindo conformidade com LGPD e práticas de catalogação/versionamento Participar de metodologias ágeis em formato squad (sprints, dailies, retrospectivas), gerenciando múltiplas prioridades com autonomia Requirements and skills O que a Cadastra espera de você: Bacharelado em Computação, Engenharia de Dados, Sistemas ou áreas correlatas; Experiência em Engenharia de Dados com pipelines ETL | ELT Conhecimento de GCP (BigQuery, Cloud Storage, Dataflow e Composer/Airflow) e DataBricks (Notebooks, Delta Lake, PySpark) Conhecimento intermediário de SLQ (queries complexas, otimização e modelagel) e Python (Pandas, Pyspartk, Numpy, APIs) Experiência com conectores (APIs); DIFERENCIAL Certificações: GCP Professional Data Engineer, Databricks Data Engineer Associate/Professional; Experiência em marketing de dados (Google Analytics, CRM, plataformas de marketing, customer analytics); Vivência em consultoria ou gestão de múltiplos projetos; Metodologias ágeis (Scrum, Kanban) em formato squad Additional information O que oferecemos: Vale alimentação e refeição no cartão FLASH Auxílio Home Office no cartão FLASH Plano de saúde de acordo com a sua localidade Plano odontológico de acordo com a sua localidade Day off de aniversário + valor depositado no cartão FLASH Licença-maternidade e paternidade estendida Participação nos lucros (PLR) Seguro de vida Auxílio creche Bônus por indicação Vale-transporte Clude | Plataforma de Saúde Total Pass #J-18808-Ljbffr
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