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7 месяцев назад

Data Engineer (Python)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Romania/Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineer (Python): Building and optimizing high-quality, scalable, and secure applications with an accent on modern technologies and Cloud-based environments. Focus on designing, developing, and maintaining Python applications, implementing robust testing, and orchestrating solutions with Docker and Kubernetes for efficient delivery cycles.

Location: Hybrid in Brasov, Cluj-Napoca, Timisoara, or Bucharest, Romania.

Company

hirify.global is a global technology and consulting company focused on applying intelligence, reason, and science to improve business and society through hybrid cloud and AI strategies.

What you will do

  • Design, develop, and maintain applications using Python (3.9 or higher).
  • Implement and maintain unit and integration testing.
  • Containerize and orchestrate applications using Docker and Kubernetes.
  • Collaborate with cross-functional teams in Agile/Scrum ceremonies.
  • Develop and deploy solutions with a strong understanding of Cloud environments.

Requirements

  • Strong knowledge of Python (3.9 or higher).
  • Solid experience in PostgreSQL.
  • Good knowledge of Docker and Kubernetes.
  • Good understanding of Cloud environments.
  • Experience working in Agile/Scrum settings.
  • Solid experience in development, unit testing, and integration testing.
  • Bachelor's Degree required.

Nice to have

  • French language (minimum B2 level preferred).
  • Hands-on experience with React, Redux, HTML/CSS, JavaScript, TypeScript.
  • Hands-on experience with Flask.

Culture & Benefits

  • Opportunity for continuous learning and career development.
  • An environment that encourages courage, experimentation, trust, and support.
  • Growth-minded culture, open to feedback and new skills.
  • Collaborative, team-focused approach to drive exceptional outcomes.
  • Emphasis on making critical decisions and embracing challenges.
  • Flexible working patterns may be available upon discussion.

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