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Open nowPosted 5 hours agoWe saw it 10 min after it went up

Databricks Data Engineer | Senior (Remote)

Gupy (Portal de Vagas)76,365 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowDatabricks Data Engineer | Senior (Remote)Gupy (Portal de Vagas) · Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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

  4. CV RocketApplied on Gupy (Portal de Vagas)'s own form.

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Gupy (Portal de Vagas) postings stay open a median of 3 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.0%14 days
  5. 34.0%30 days
This job: posted 5 hours ago

Gupy (Portal de Vagas) median: 3 days open

The posting

.Responsabilidades e atribuições Atuação na construção, migração e evolução de soluções de Engenharia de Dados em ambientes Databricks;Desenvolvimento e manutenção de pipelines de dados escaláveis, confiáveis e performáticos;Implementação de processos de ingestão, transformação e disponibilização de dados utilizando Spark e PySpark;Atuação em arquiteturas Data Lake e Data Lakehouse, com implementação do modelo Medallion (Bronze, Silver e Gold);Interpretação de regras de negócio e tradução em processos e soluções de dados;Participação em projetos de migração e modernização de plataformas de dados;Garantia de qualidade, performance, monitoramento e confiabilidade dos pipelines.

Requisitos e qualificações Domínio de PySpark, Apache Spark e SQL;Experiência com Delta Lake, Delta Tables, Unity Catalog e Lakeflow Declarative Pipelines;Conhecimento em Lakeflow Connect para ingestão de dados;Experiência com Jobs, Workflows, orquestração e monitoramento de pipelines;Vivência com arquitetura Lakehouse e modelo Medallion (Bronze, Silver e Gold);Experiência com migração de plataformas ou desenvolvimento de projetos em Databricks;Conhecimento de Git, CI/CD e boas práticas de desenvolvimento e deploy;Conhecimento de ferramentas e tecnologias como Airflow, Kafka, dbt, AWS Glue e BigQuery;Experiência com bancos SQL/NoSQL, como PostgreSQL, MongoDB ou Cassandra.Diferencial: Experiência em projetos contábeis e financeiros, certificação Databricks Certified Data Engineer Associate.

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