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Open nowPosted 3 days ago

Engenheiro(a) de Dados I (Data OPS) - São Paulo/SP

Gupy (Portal de Vagas)77,672 open roles

Where
São Paulo, Brazil
Work mode
Hybrid
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Your applicationOpen nowEngenheiro(a) de Dados I (Data OPS) - São Paulo/SPGupy (Portal de Vagas) · São Paulo, Brazil

  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.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.2% 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. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted 3 days ago

Gupy (Portal de Vagas) median: 3 days open

The posting

A Omie tem como propósito trazer prosperidade para o ecossistema empreendedor brasileiro. Por isso, buscamos por pessoas com mentalidade de crescimento, valorizando perfis que tenham capacidade de adaptação, senso colaborativo e sejam motivadas pela inovação e pelo aprendizado contínuo.Faça parte da história de uma das empresas de tecnologia que mais cresce no país! 🚀#VempraOmieResponsabilidades e atribuiçõesEvoluir o ecossistema de dados corporativo, atuando com ferramentas como Databricks Lakehouse Platform e Redshift, garantindo alta disponibilidade, governança e performance.Implementar arquiteturas de dados escaláveis e distribuídas, sustentando processos de ingestão, transformação e consumo em larga escala.Desenvolver pipelines de dados em PySpark, Scala e SQL, assegurando eficiência, qualidade e rastreabilidade.Definir e disseminar padrões técnicos, boas práticas e frameworks de engenharia de dados, promovendo consistência e excelência operacional.Atuar junto às equipes de tecnologia, produto e negócio para garantir integração eficiente entre sistemas e camadas analíticas.Gerenciar o desempenho e otimização de workloads analíticos, aplicando técnicas avançadas de tuning e monitoramento.Garantir a qualidade, integridade e segurança dos dados, em conformidade com LGPD e demais diretrizes corporativas.Implementar e supervisionar mecanismos de observabilidade e monitoramento de dados e processos.Documentar arquiteturas, fluxos e processos técnicos, assegurando rastreabilidade e evolução contínua do ambiente de dados.Atuar como referência técnica e estratégica, apoiando decisões de arquitetura, performance e escalabilidade.Requisitos e qualificaçõesFormação superior em Ciência da Computação, Engenharia de Dados, Sistemas de Informação ou áreas correlatas.Experiência comprovada como Engenheiro de Dados Sênior.Experiência prática com Databricks Lakehouse Platform ou equivalente.Proficiência em Python e SQL para desenvolvimento e otimização de pipelines de dados.Experiência com otimização de performance e tuning de queries.Experiência com modelagem de dados.Familiaridade com Github.Informações adicionais Benefícios para apoiar sua jornada Saúde e bem‑estarPlano Odontológico | Amil DentalPlano de Saúde | Bradesco SaúdePlataforma de Saúde MentalPlataforma de TelemedicinaSeguro de Vida | PrudentialBenefício FarmáciaAuxílio Academia Apoio à rotinaDay Off de AniversárioVale‑Refeição FlexívelAuxílio Home OfficeAuxílio-crecheVT e Fretado Parcerias e IncentivosPlataforma de Descontos (Allya, SwileShop e Dell)Benefícios EducacionaisBenefícios de ViagensPlano de Saúde PetSESCPPRL

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