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Salary
$28k – $62k per year (Estimated)
Location
In office (Moscow)
Seniority
Senior
Overview
Company
Impact
Profile match
Ozon is a Russian e-commerce company founded in 1998 by the software house Reksoft as an online bookshop, and often described as the Amazon of its market for taking the same first-party plus marketplace approach. It now sells across every consumer category through a network of fulfilment centres, sorting hubs and tens of thousands of pickup points that reach far beyond the largest cities. The group has added an express grocery service, a travel booking arm and Ozon Bank, whose cards and lending are tied to the marketplace, and it is one of the two dominant online retail platforms in the country alongside Wildberries.

Ozon Банк - это современные финансовые технологии для людей и бизнеса. Мы сами реализуем ключевые системы: процессинг, учётное ядро, переводы. Даём возможность влиять на результат, ценим открытость и поддерживаем коллег.

Ищем опытного дата-инженера, который возглавит небольшую команду до 3 человек и построит инженерную практику данных для ML-продуктов банка.

Роль подойдёт квалифицированному старшему специалисту, который готов сделать следующий шаг и расти до техлида.

Вам предстоит:

  • пределять архитектуру батч-пайплайнов на Spark/PySpark, HDFS, Airflow и ClickHouse

  • оставаться hands-on руководителем: проектировать решения, писать код и проводить код-ревью

  • формировать стандарты разработки: тестирование, DQ, мониторинг, алерты, SLA, документация и ранбуки

  • повышать производительность и надёжность Spark-задач, оптимизировать хранение в HDFS и ClickHouse

  • управлять техническим бэклогом, распределять задачи и развивать инженеров команды

  • выстраивать взаимодействие с дата-сайентистами, MLOps, аналитиками и платформенными командами

  • отвечать за production-ready качество пайплайнов и разбор критичных инцидентов

Для нас важны:

  • уверенный практический опыт со Spark/PySpark, HDFS, Airflow, ClickHouse, Python и SQL

  • опыт проектирования и эксплуатации нагруженных пайплайнов данных

  • глубокие знания распределённых вычислений, партиционирования и оптимизации ETL

  • умение внедрять инженерные практики и системно повышать качество

  • опыт в роли ментора, техлида или координатора небольшой команды.

Будет плюсом:

  • опыт работы с Kafka, Feature Store, ML-пайплайнами, скорингом или антифродом

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