Analytics Engineer

Hamkorbank • Russian: C1 • Python • SQL • 12 days ago
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Salary
≈ $11k – $27k per year (Estimated)
Location
Remote/Hybrid (Tashkent, Uzbekistan)
Seniority
Middle · 4+ years exp
Employment
Full-Time
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Hamkorbank

Hamkorbank is a prominent commercial financial institution headquartered in Andijan, Uzbekistan, and was established in 1991. The bank provides a comprehensive range of services including retail and corporate lending, mortgage financing, payment cards, and various deposit products in both national and foreign currencies. It operates through an extensive network of more than 200 service offices across the country, serving over three million active clients with the support of international shareholders such as the IFC and FMO.
hamkorbank.uz • HQ: Andijan, Uzbekistan • Credit Cards • Lending • Financial Services • 11-50 employees • Est. 1991

Ищем Аналитика-инженера, который будет работать на стыке системной аналитики, Data Quality и DWH.

Чем предстоит заниматься

  • Собирать и анализировать требования заказчиков к данным и проверкам их качества.
  • Анализировать требования к данным, прорабатывать проверки качества данных, работать с SQL и участвовать в развитии хранилища данных.
  • Прорабатывать логику и настройки Data Quality checks.
  • Анализировать и определять причины инцидентов, связанных с качеством данных.
  • Анализировать структуру данных в системах-источниках.
  • Работать с бизнес-глоссарием и дата-каталогом в OpenMetadata.
  • Участвовать в развитии ядра DWH.
  • Готовить технические задания и описывать требования.
  • Взаимодействовать с аналитиками, разработчиками и другими командами.

Что мы ожидаем

  • Опыт работы с SQL от 4 лет.
  • Опыт работы в системной аналитике.
  • Практический опыт сбора и проработки требований, подготовки ТЗ.
  • Опыт работы с базами данных.
  • Понимание принципов Data Quality и опыт работы с качеством данных.
  • Опыт работы с OpenMetadata будет преимуществом.
  • Опыт работы с DBT будет плюсом.
  • Знание Python будет плюсом

Мы предлагаем

  • Работа в команде профессионалов в сфере FinTech и Data.
  • Возможность работать с масштабными данными и развивать экспертизу в Data Quality, Data Governance и DWH.
  • Гибридный формат работы.
  • 28 дней оплачиваемого отпуска: 21 основной + 7 дополнительных дней.
  • Квартальные бонусы по результатам работы.
  • Оформление и условия сотрудничества обсуждаются индивидуально.
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