High-Performance Data Architect

1 day ago


Remote Wroclaw, Czech Republic beBeeDataEngineer Full time €12,000 - €22,000

The ideal candidate will have a solid understanding of data processing fundamentals, building blocks, and mechanics.

  • Solid understanding of data processing fundamentals, building blocks, and mechanics.
  • Strong knowledge of programming languages such as Python, Java, or Scala is also required, with the ability to expand to expert level.
  • 1+ years of experience with distributed computing platforms.
  • Good SQL skills.
  • Understanding of data quality issues in large datasets.
  • 1+ years of experience with Linux environments.
  • Professional working proficiency in English.
  • Understanding of API communication patterns and protocol itself.
  • Good software debugging skills.
  • Deep understanding of at least one technical area.
  • Solid Git version control understanding.
  • Strong communication skills.
Key Responsibilities

We are seeking an experienced Data Engineer with expertise in designing, implementing, and maintaining petabyte-scale big data pipelines using distributed computing platforms, Apache Airflow, Kubernetes, and other technologies. The successful candidate will optimize performance by working with big data, which can be highly specific: sometimes IO-bound, sometimes CPU-bound.

Requirements: Distributed computing, Java, Scala, Python, Big data, Cloud services, API Tools: Jira, Confluence, Bitbucket, GIT, Jenkins, Agile, Kanban. Additionally: Remote work, Flexible working hours, Sport subscription, Flat structure, Small teams, International projects, Free parking, Free coffee, Playroom, Modern office, Startup atmosphere, No dress code.



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