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Дата-инженер

Sber • Russian: C1 • LLM & Generative AI • Cloud Platforms (IaaS & PaaS) • SQL • ETL/ELT • 1 day ago
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Salary
≈ $18k – $44k per year (Estimated)
Location
In office (Moscow)

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 19, 2026. Sber scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Sber

Sber is Russia's largest bank and the centre of one of the country's biggest technology ecosystems, tracing its origins to savings institutions established in 1841. It serves over a hundred million retail customers and several million businesses through branch, mobile and web channels, and holds a dominant share of the national deposit, lending and payment markets. Over the past decade the group has built out an ecosystem well beyond banking, spanning e-commerce, food delivery, streaming media, cloud infrastructure, devices and the GigaChat family of large language models developed by its own AI research teams.
sber.ru • HQ: Moscow, Russia • Cloud Platforms (IaaS & PaaS) • LLM & Generative AI • Investment Banking & M&A Advisory • Wealth Management & Financial Advisors • Commercial & Retail Banks • 5000+ employees • Est. 1841
Tech stack of Sber
Backed by Sber500

Ищем Data-инженера в кластер по работе с данными. Направление - построение прикладных спец. витрин для обеспечения бизнес-процессов в области Эквайринга.

Обязанности

  • проектирование и разработка ETL-потоков
  • построение витрин данных
  • анализ работы существующих ETL-процессов, поиск и устранение проблемных мест
  • обеспечение качества и актуальности данных
  • верификация поставленных аналитиком задач (S2T - Source to Target)
  • поддержка внедрения функционала на этапах ПСИ и ОПЭ.

Требования

  • глубокое знание SQL
  • знание GreenPlum (архитектура, типы дистрибьюций, понимание специфики использования индексов, знание особенностей AO-таблиц: отличия от Heap-таблиц, когда полезно их использовать, как их обновлять без bloat)
  • понимание устройства хранилищ данных
  • опыт работы с большими объёмами данных
  • знание общих подходов к оптимизации
  • навыки работы с git и linux bash
  • промышленный опыт реализации ETL-процессов

Будет плюсом:

  • опыт с Hadoop и Spark
  • навыки работы с генеративными AI-моделями, опыт создания AI-агентов и использования их в работе
  • опыт использования GigaChat, Kandinsky и аналогов впродуктах, навыки создания и использования AI-агентов
  • инструментальное владение AI для анализа, генерации и автоматизации.

Условия

  • офисный формат работы по адресу Кутузовский проспект 32к1
  • ежегодный пересмотр зарплаты и годовая премия
  • расширенный ДМС и льготное страхование для семьи
  • уникальная система обучения Сбера для профессионального и карьерного развития
  • выгодная ипотека для сотрудников
  • подписка Прайм с возможностью совместного использования на трёх близких
  • вознаграждение за рекомендацию друзей в команду Сбера
  • корпоративная пенсионная программа.
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