
High-Performance Data Architect
1 day ago
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.
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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