Data Engineering Professional

Há 2 dias

Recife, Pernambuco, Brasil beBeeData Tempo inteiro R$70.000 - R$95.000

At Aubay Portugal, we are constantly seeking talented professionals to join our team in the field of data engineering. We offer a comprehensive range of roles and responsibilities that cater to various skill sets and interests.

A key requirement for this position is a strong background in data engineering, with expertise in PySpark being a must-have. Additionally, experience working with AWS Cloud is highly valued. Our ideal candidate will also possess knowledge of Lambda, Glue, and Databricks, as well as fluency in both Portuguese and English (minimum B2 level). Relocation from Brazil to Portugal is required.

Our organization prioritizes continuous learning, regular feedback, and teamwork. As an employee, you can expect a supportive work environment, opportunities for professional growth, and a chance to make a meaningful impact.

  • We prioritize transparency, team spirit, and open communication.
  • We have a flexible working model that allows for remote or hybrid projects.

We are committed to providing our employees with the tools and resources necessary to succeed in their roles. This includes access to training sessions, meetups, webinars, and mentoring programs. Our goal is to create a positive and inclusive work environment where everyone feels valued and supported.

  • We promote a culture of collaboration and mutual respect.
  • We believe in empowering our employees to take ownership of their work and make decisions that drive success.

If you are passionate about data engineering and excited about the prospect of joining a dynamic team, we encourage you to apply. Please note that all personal data collected during the application process will be treated confidentially and in accordance with applicable laws and regulations.

The company reserves the right to transfer or share personal data with third-party service providers, partners, or affiliated companies, subject to strict confidentiality and data protection obligations.

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