DWH Data Engineer in Travel Company: Travel

Our team turns terabytes of data into insights for Yandex.Travel analysts. Join us if you have experience designing DWH (layers, data storage models, ETL processes), understand how relational databases work, are familiar with Apache Airflow or similar tools, and write in a high-level programming language (Python, Go, Java).

Our team turns terabytes of data into understandable and useful insights used by analysts and a service that helps millions of people travel. The product is growing at a tremendous pace, and with it, our tasks are growing — that's why we are constantly developing our own DWH.

Our storage is built on YTsaurus (a proprietary MapReduce cluster) and ClickHouse. A proprietary framework developed within Yandex is used for the development, orchestration, and monitoring of ETL processes. Various data warehouse design methodologies are employed for organizing data storage models at different levels: Lambda architecture, Data Lake, Data Vault.