Data Engineer | AWS GCP | MidSenior

Work set-up: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Brazil

Offer summary

Qualifications:

Experience with data pipeline development and data infrastructure management., Knowledge of SQL and NoSQL databases like PostgreSQL, MongoDB, DynamoDB., Familiarity with cloud services such as AWS, GCP, and Azure., Understanding of software design principles, automated testing, and version control (Git)..

Key responsibilities:

  • Develop and maintain data pipelines for data collection, cleaning, and transformation.
  • Build and manage data storage and processing infrastructure.
  • Collaborate with data scientists and analysts to make data accessible and efficient.
  • Ensure data quality and integrity across various sources.

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Compass.uol XLarge
5001 - 10000 Employees
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Job description

JOB DESCRIPTION

.


RESPONSIBILITIES AND ASSIGNMENTS

  • Desenvolver e manter pipelines de dados para coletar, limpar e transformar dados de diversas fontes, garantindo qualidade e integridade;
  • Construir e gerenciar a infraestrutura de dados, incluindo armazenamento e processamento de grandes volumes de informações;
  • Colaborar com Cientistas de Dados e Analistas de Dados para disponibilizar dados de forma acessível e eficiente, facilitando análises e modelagens avançadas.

    • REQUIREMENTS AND QUALIFICATIONS

      • Conhecimento em princípios de design de software, testes automatizados, versionamento de código (Git) e boas práticas de desenvolvimento;
      • Conhecimento em SQL (PostgreSQL, MySQL, SQL Server) e NoSQL (MongoDB, Cassandra, DynamoDB);
      • Experiência com Data Warehouses (Redshift, BigQuery, Snowflake) e ferramentas de processamento distribuído, como Hadoop e Spark;
      • Conhecimento em serviços de nuvem, como AWS (S3, Lambda, Glue, Redshift), Azure (Data Factory, Synapse, Blob Storage) e GCP (BigQuery, Cloud Functions, Dataflow).






        • Não possui todos os requisitos para a vaga?


          Está tudo bem! Na Compass UOL, estimulamos o desenvolvimento contínuo de novos talentos e transformamos desafios em oportunidades.


          ADDITIONAL INFORMATION


          #remote

          remote


          DREAM BIG WHEN IT COMES TO TECHNOLOGY. BE A COMPASSER! 🚀

          Compass UOL is a global company that is part of AIR, which drives the transformation of organizations through Artificial Intelligence, Generative AI, and Digital Technologies.


          We design and build digitally native platforms using cuttingedge technologies to help companies innovate, transform businesses, and drive success in their markets. With a focus on attracting and developing the best talent, we create opportunities that improve lives and highlight the positive impact of disruptive technologies on society.


          Thats why our selection process goes beyond technical skills. Our goal is to find unique individuals with the potential to make an extraordinary impact on our clients.


          We empower talent without borders and promote knowledge and opportunities in the latest market trends, driving significant results.


          Join us and be part of the AIdriven digital revolution in the technology universe.


          HOW OUR SELECTION PROCESS WORKS

          1. ONLINE APPLICATION
          Choose the opportunity that best fits your goals. Remember: having a welldetailed profile with your experiences and knowledge can make all the difference!
          2. INTERVIEWS
          Learn about our culture and company! During interviews, be present and do your best to share your expertise in a chronological and structured way.
          3. EVALUATION
          Our tests and assessments focus on finding talent with the cultural and technical fit for the position applied for.
          4. FEEDBACK

          Wait for our response regardless of the result! We have Gupy platform feedback certification.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Portuguese
Check out the description to know which languages are mandatory.

Hard Skills

NoSQLCloud ComputingSQL (Programming Language)Data ArchitectureTest AutomationDistributed File SystemsSoftware ArchitectureVersion ControlData Warehouse Architectures
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