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Azure e GCP Data Engineer| Senior (Remote)

Key Facts

Remote From: 
Full time
Senior (5-10 years)
Portuguese

Other Skills

  • Collaboration
  • Adaptability
  • Communication
  • Proactivity
  • Solutions Focused
  • Analytical Thinking
  • Problem Solving

Roles & Responsibilities

  • Extensive experience as a Senior Data Engineer
  • Knowledge of Microsoft Azure
  • Practical experience with Databricks
  • Experience with GCP and BigQuery

Requirements:

  • Develop and evolve data pipelines in Azure, GCP, and Databricks environments, ensuring efficiency, performance, and reliability
  • Use Terraform for provisioning and standardizing infrastructure as code
  • Identify opportunities to improve data architecture, proposing scalable and sustainable solutions
  • Support modernization and consolidation initiatives of data in cloud environments

Job description

JOB DESCRIPTION


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RESPONSIBILITIES AND ASSIGNMENTS


  • Desenvolver e evoluir pipelines de dados em ambientes Azure, GCP e Databricks, garantindo eficiência, performance e confiabilidade;
  • Estruturar soluções de ingestão, transformação e disponibilização de dados em larga escala;
  • Atuar na integração de dados provenientes de diferentes fontes e sistemas, incluindo Firebase Utilizar Terraform para provisionamento e padronização de infraestrutura como código;
  • Identificar oportunidades de melhoria na arquitetura de dados, propondo soluções escaláveis e sustentáveis;
  • Atuar de forma proativa na resolução de problemas e na estabilidade da plataforma;
  • Participar de definições técnicas, contribuindo com boas práticas e compartilhamento de conhecimento;
  • Colaborar com times multidisciplinares, garantindo alinhamento técnico e de negócio;
  • Apoiar iniciativas de modernização e consolidação de dados em ambientes cloud.

REQUIREMENTS AND QUALIFICATIONS


  • Experiência sólida como Engenheiro(a) de Dados Sênior;
  • Conhecimento em Microsoft Azure;
  • Experiência prática com Databricks Vivência com GCP e BigQuery;
  • Experiência com Terraform e infraestrutura como código;
  • Conhecimento em governança, padronização e boas práticas de engenharia de dados;
  • Perfil analítico, proativo e com boa capacidade de adaptação;
  • Boa comunicação, postura colaborativa e visão de solução;
  • Diferencial: experiência com automação, CI/CD e modernização de plataformas de dados.

Become a Compasser, be part of AI/R.


Compass UOL is a global firm and part of the AI Revolution Company, together transforming organizations using Artificial Intelligence, Generative AI, and other of today’s most advanced technologies.


We equip our team with proprietary and external AI-driven tools to design and build digital-native platforms, integrating cutting-edge technologies and enabling companies to innovate, transform their businesses, and drive success in their markets.

To achieve this, we attract and develop the best talent, creating opportunities that enhance people’s lives and highlight the positive impact of disruptive technologies.

We empower borderless talent and promote knowledge and opportunities in the latest market trends, driving significant personal and professional growth.

Join us and be part of the AI-driven revolution.


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