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Open nowPosted 74 days ago

Архитектор DWH

ООО "РСХБ-АВТОМАТИЗАЦИЯ"

Where
Москва, Russia
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Your applicationOpen nowАрхитектор DWHООО "РСХБ-АВТОМАТИЗАЦИЯ" · Москва, Russia

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 74 days ago

The posting

Разрабатывать архитектуру корпоративного хранилища данных (Enterprise DWH). Проектировать модели данных в соответствии с методологией Data Vault 2.0 . Разрабатывать концептуальные, логические и физические модели данных. Формировать архитектурные стандарты и контролировать их соблюдение. Прорабатывать интеграцию данных из банковских АБС, CRM, процессинговых систем и других источников. Проектировать загрузки, историзацию и правила качества данных. Взаимодействовать с бизнес-аналитиками, владельцами данных, разработчиками ETL и BI-командами. Проводить архитектурные ревью моделей данных и проектных решений. Оптимизировать архитектуру хранилища и обеспечивать ее масштабируемость.

Опыт работы архитектором DWH или ведущим архитектором данных от 5 лет . Отличное понимание архитектуры корпоративных хранилищ данных. Практический опыт проектирования хранилищ на Greenplum (GPDB) . Глубокое знание методологии Data Vault 2.0 и опыт построения моделей Hub, Link, Satellite. Отличное знание SQL и принципов оптимизации запросов в MPP-системах. Уверенное владение PowerDesigner: разработка концептуальных, логических и физических моделей; управление репозиторием моделей; поддержка корпоративных стандартов моделирования. Экспертиза в банковской предметной области Кандидат должен хорошо ориентироваться в банковских данных и понимать структуру основных предметных областей, включая: Главную книгу (General Ledger); бухгалтерский учет; клиентский домен; счета и договоры; кредиты; депозиты; платежи и переводы; банковские карты; справочники; организационную структуру; финансовую и регуляторную отчетность. Будет большим преимуществом опыт построения корпоративной модели данных банка и участие в создании единой модели данных (Enterprise Data Model).

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