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node.js docker python typescript airflow📋 Description
- Design and evolve the architecture of the data platform and storage systems.
- Build reliable ETL/ELT processes and scalable data pipelines to a centralized analytical warehouse.
- Maintain and further develop the Data Warehouse.
- Collaborate with engineering and analytics teams on system design and architectural decisions.
- Ensure data governance and maintain high standards of data quality.
- Write and optimize queries for MongoDB and ClickHouse.
🎯 Requirements
- 7+ years of experience as a Data Engineer.
- 5+ years of experience with Python, TypeScript, Node.js, Kafka.
- Hands-on experience with ClickHouse, Airflow, Amazon S3, Git, Docker.
- Solid understanding of Data Lake and Data Warehouse architectures.
- Experience working with large-scale data and query optimization.
- English level: B1+.
🎁 Benefits
- Private medical insurance for employee and family.
- 22 paid vacation days per year.
- Up to 14 paid public holidays per year.
- 5 company-paid sick leave days.
- Remote working.
- Home Office Setup Assistance: furniture and equipment.
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