Leading Data Engineer

2 semanas atrás

Porto Alegre, Rio Grande do Sul, Brasil beBeeDataEngineer Tempo inteiro R$60.000 - R$80.000
Job Opportunity

We are seeking a highly skilled data engineer to join our team.

This role involves designing, building, and maintaining scalable data pipelines and infrastructure to support our organization's data-driven initiatives. The successful candidate will have the opportunity to develop and work with cutting-edge technology, immersed in a culture centered on innovation and collaboration.

The data engineer will be responsible for transforming and organizing raw data into structured and meaningful information, enabling key business insights and decisions. This includes:

  • Designing, implementing, and optimizing ELT processes to ingest, transform, and integrate data from diverse sources into a centralized data platform;
  • Developing and implementing strategies for data monitoring, performance optimization, and governance, ensuring data quality, security, and compliance;
  • Collaborating on data modeling using DBT to transform raw data into well-structured, actionable information;
  • Working with internal stakeholders to understand business objectives and data requirements;
  • Staying updated with emerging data technologies, tools, and best practices to recommend and implement improvements.

Requirements include:

Technical Skills
  • Proficiency in SQL;
  • Experience with Python programming;
  • Experience with Google Cloud Platform (GCP);
  • Familiarity with data extraction tools such as Airflow or Airbyte;
  • Experience using GitHub for version control and collaboration;
  • Intermediate English;
  • Basic knowledge of CI/CD pipelines;
  • Basic knowledge of BI tools.
Benefits
  • Flexible working hours;
  • Annual international exchange program;
  • Nomad program to work from anywhere for up to 3 months a year;
  • Stock options;
  • Health and dental plan;
  • Transport voucher;
  • Freestyle workstation customization;
  • Birthday day off;
  • TotalPass;.

Join us in shaping the future of data engineering

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