Design and evolve the data platform and storage architecture.
Build reliable ETL/ELT pipelines to a centralized analytics warehouse.
Maintain and optimize the Data Warehouse.
Collaborate with engineering and analytics on system design decisions.
Ensure data governance and maintain high data quality.
Write and optimize queries for MongoDB and ClickHouse; manage Airflow workflows.

🎯 Requirements

7+ years of experience as a Data Engineer.
5+ years of experience with Python, TypeScript, Node.js, Kafka.
Strong understanding of data processing algorithms and principles.
Hands-on experience with ClickHouse, Airflow, Amazon S3, Git, Docker.
Solid understanding of Data Lake and Data Warehouse architectures.
Experience with large-scale data and query optimization.

🎁 Benefits

31 days off
100% paid telemedicine plan
Home Office Setup Assistance: furniture and workspace items
English learning courses
Relevant professional education
Remote working

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