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Senior-инженеру предстоит отвечать за ETL-пайплайны, моделирование и качество данных - от источника до готового отчёта.\n Задачи:\n Проектировать и развивать DWH: слои, витрины и модели данных (звезда, medallion, SCD2)\n Строить и поддерживать ETL/ELT-пайплайны на Airflow, Spark и Python\n Работать с PostgreSQL, Greenplum и ClickHouse, оптимизировать загрузки и запросы\n Организовывать потоковую загрузку из Kafka/RabbitMQ, следить за идемпотентностью и backfill\n Обеспечивать качество данных: тесты, сверки с источниками, мониторинг свежести и объёмов\n Участвовать в архитектурных решениях, проводить код-ревью и наставлять коллег\n Вести документацию и каталог данных\n Требования:\n Опыт в Data Engineering / DWH от 5 лет \n Продвинутый SQL: оконные функции, CTE, чтение планов, оптимизация\n Python на уровне production-кода\n Опыт ETL/ELT: Airflow и Spark\n Понимание моделирования хранилищ и инкрементальной загрузки\n Опыт работы с ClickHouse или Greenplum/PostgreSQL на больших объёмах\n 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