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Open nowPosted 9 hours ago

Databricks Data Engineer | Senior (Remote)

Compass UOL

Where
Remote
Work mode
Remote
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Your applicationOpen nowDatabricks Data Engineer | Senior (Remote)Compass UOL · Remote

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 9 hours ago

The posting

.Responsabilidades e atribuições Atuar no desenvolvimento, implementação e evolução de soluções de Engenharia de Dados utilizando o ecossistema Databricks;Definir e implementar arquiteturas de dados escaláveis, baseadas no modelo Lakehouse e na arquitetura Medallion (Bronze, Silver e Gold);Desenvolver, otimizar e manter pipelines de dados utilizando Databricks, PySpark, Spark SQL e Delta Lake;Implementar soluções de ingestão, processamento e integração de dados, incluindo CDC e Structured Streaming;Atuar na orquestração de pipelines e integração de sistemas por meio do Azure Data Factory (ADF);Desenvolver APIs REST, microsserviços e automações utilizando Python;Garantir a governança, segurança, linhagem e controle de acesso aos dados;Realizar otimizações de performance, escalabilidade e custos de processamento;Atuar na observabilidade, monitoramento e sustentação de pipelines em produção;Ser referência técnica para o time, orientando profissionais e estabelecendo boas práticas de Engenharia de Dados.

Requisitos e qualificações Experiência sólida e avançada em projetos produtivos com Databricks;Domínio de PySpark, Spark SQL, Delta Lake e Apache Spark;Experiência com DLT / Lakeflow Spark Declarative Pipelines, CDC e Structured Streaming;Experiência com Liquid Clustering, Auto Loader e otimização de tabelas Delta;Conhecimento avançado em Unity Catalog, governança, segurança, linhagem e controle de acesso;Experiência na definição de arquiteturas de dados, modelo Lakehouse e arquitetura Medallion;Experiência com Azure Data Factory (ADF) para orquestração, ingestão e integração de dados;Domínio de Python para desenvolvimento de APIs REST, microsserviços e automações;Experiência com Spark Performance Tuning, Photon, particionamento, shuffle e análise de planos de execução;Conhecimento em Databricks Workflows, CI/CD, Git e Declarative Automation Bundles;Experiência com otimização de workloads, dimensionamento de recursos computacionais e redução de custos;Vivência com observabilidade, monitoramento e sustentação de pipelines em produção;Autonomia na resolução de problemas técnicos complexos e capacidade de tomada de decisão arquitetural;Experiência como referência técnica, apoiando e orientando outros profissionais.Certificações: Obrigatória: Databricks Certified Data Engineer Associate. Fortemente desejável: Databricks Certified Data Engineer Professional. Diferencial: Databricks Certified Associate Developer for Apache Spark.Desejável: certificações AWS, Azure ou GCP relacionadas à Engenharia de Dados e Arquitetura de Soluções.

Informações adicionaisBenefíciosVale-alimentação e/ou vale-refeição;Plano de saúde e plano odontológico;Plano de saúde para o seu pet;Auxílio home office (para vagas remotas);Kit de boas-vindas no onboarding;Seguro de vida;Zenklub, com acompanhamento psicológico e nutricional;TotalPass;Programa de Certificações e Capacitação Contínua com parceiros (Adobe, Anthropic, AWS, Google, Microsoft, Salesforce);Parcerias e descontos para o seu desenvolvimento;Acesso ao conteúdo UOL;Kit maternidade;Licença maternidade e paternidade estendidas; Programa de indicações.

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