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Open nowFirst seen 5 days ago

Banco de Talentos - Engenheiro de Dados

LUZA Group420 open roles

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Your applicationOpen nowBanco de Talentos - Engenheiro de DadosLUZA Group

  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 LUZA Group'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.

12.3% of postings close within 7 days. Measured by our own scanner across the market. LUZA Group postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

LUZA Group median: 2 days open

The posting

Junte-se a família Luza Group!

Estamos sempre à procura de talentos que tenham paixão pelo progresso, pela inovação e curiosidade para enfrentar os desafios que afetam a nossa sociedade de hoje.

Somos uma multinacional de Engenharia & TI, sendo parceiros confiáveis de grandes empresas mundiais. Focados no futuro, somos impulsionados pela procura da excelência em tudo que fazemos.

Responsabilidades e Tarefas da Função:

  • Responsável pelo gerenciamento e processamento de grandes volumes de dados;
  • Colaboração em projetos financeiros com uma abordagem ágil;
  • Levantamento e refinamento de requisitos de dados;
  • Desenvolvimento e manutenção de consultas SQL e T-SQL para extração e manipulação de dados;
  • Implementação e gerenciamento de bancos de dados SQL Server e Azure SQL Database;
  • Utilização de conhecimentos gerais da Cloud Azure para integrar soluções de dados;
  • Implementação e manutenção de pipelines de dados usando Azure Data Lake e Azure Data Factory;
  • Utilização de Databricks, especialmente Delta Lake, para processamento de dados em larga escala;
  • Desenvolvimento e manutenção de relatórios e dashboards utilizando Power BI, com proficiência em DAX e M;
  • Utilização de Python e Pyspark para automação e manipulação avançada de dados; Configuração e gestão de fluxos de trabalho de dados utilizando Apache Airflow para agendar, monitorar e gerenciar processos de ETL de forma eficiente.

Requisitos:

  • Experiência comprovada na utilização da ferramenta Power BI, com proficiência em DAX e M;
  • Habilidade de realizar levantamento e refinamento de requisitos de dados;
  • Domínio de consultas SQL e T-SQL para manipulação de dados;
  • Experiência comprovada no gerenciamento de bancos de dados SQL Server e Azure SQL Database;
  • Conhecimento básico da Cloud Azure e suas principais funcionalidades;
  • Experiência na implementação e manutenção de soluções de dados utilizando Azure Data Lake e Azure Data Factory;
  • Experiência prática com Databricks, especialmente em projetos envolvendo Delta Lake;
  • Conhecimentos sólidos em PowerBI para desenvolvimento de relatórios e dashboards;
  • Experiência em programação com Python e utilização de Pyspark para manipulação de dados;
  • Experiência em configuração e gestão de fluxos de trabalho de dados utilizando Apache Airflow.
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  1. A CV for this posting

    Written against LUZA Group's own wording, from every piece of relevant proof in your profile.

  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 LUZA Group's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

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

  4. Every reply, sorted

    LUZA Group'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

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  6. The interview in your calendar

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