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Open nowPosted 14 days ago

Engenheiro de Dados

Avanade670 open roles

Where
Sao Paulo Torre Paineira
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Your applicationOpen nowEngenheiro de DadosAvanade · Sao Paulo Torre Paineira

  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 Avanade'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.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Avanade postings stay open a median of 15 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 14 days ago

Avanade median: 15 days open

The posting

Estamos em busca de um(a) Engenheiro(a) de Dados para atuar na concepção e implementação de soluções modernas de dados, contribuindo para iniciativas de transformação digital, analytics, inteligência artificial e inovação. Esta posição terá papel estratégico na construção de arquiteturas escaláveis, definindo padrões técnicos e apoiando clientes na evolução de suas plataformas de dados em ambientes de nuvem.

Na Avanade, você fará parte de uma equipe que desenvolve soluções inovadoras utilizando as tecnologias mais avançadas do mercado, colaborando em projetos de alto impacto para clientes de diversos setores.

Together we do what matters.

Saiba mais sobre alguns dos nossos benefícios:

  • Vale refeição ou alimentação
  • Cartão Multibenefícios (até Consultor(a) Sênior)
  • Convênio médico e odontológico
  • Certificações e treinamentos
  • Seguro de vida
  • Previdência privada
  • Avababy: acompanhamento da gestação e kit para novos pais e mães
  • Participação nos resultados da empresa
  • Wellhub
  • Auxílio creche
  • Mentoria de carreira
  • Política de Birthday Off (um dia de folga no mês do seu aniversário)
  • Sessões de bem-estar
  • Para cargos gerenciais: veículo corporativo, estacionamento e auxílio combustível

Responsabilidades

  • Projetar e desenvolver pipelines de dados escaláveis em processamento batch e streaming.
  • Implementar arquiteturas Lakehouse utilizando Databricks e Microsoft Fabric.
  • Construir processos de ingestão, transformação e disponibilização de dados com Python, PySpark e SQL.
  • Definir e implementar padrões de DataOps, CI/CD, governança e qualidade de dados.
  • Desenvolver modelos de dados analíticos e arquiteturas medalhão (Bronze, Silver e Gold).
  • Integrar fontes corporativas, aplicações, APIs e sistemas legados.
  • Apoiar iniciativas de Analytics, Business Intelligence, Inteligência Artificial e Ciência de Dados.
  • Conduzir workshops técnicos, levantamento de requisitos e discussões de arquitetura.
  • Garantir desempenho, observabilidade, segurança e escalabilidade das soluções de dados.

.

Habilidades e Experiências

Requisitos obrigatórios

  • Experiência sólida em Engenharia de Dados e implementação de pipelines ETL/ELT.
  • Conhecimento avançado em modelagem de dados, Data Lakes, Data Warehouses e Lakehouses.
  • Experiência comprovada com Databricks e Microsoft Fabric.
  • Conhecimentos em Azure Data Factory, Azure Data Lake Storage Gen2, SQL, Python, PySpark, Git e Azure DevOps.
  • Vivência com Delta Lake, processamento distribuído e otimização de workloads.

Diferenciais

  • Conhecimento em Unity Catalog, Microsoft Purview, Kafka e Spark Structured Streaming.
  • Experiência com Azure Synapse Analytics, dbt, Terraform e automação de infraestrutura.
  • Experiência com Inteligência Artificial Generativa aplicada a dados.
  • Conhecimentos de FinOps e otimização de custos em nuvem.
  • Atuação prévia em consultorias e projetos de transformação digital.

.

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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Avanade's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Avanade's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

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