Системный аналитик DWH / Проектная работа / АУТСТАФФ
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Salary
≈ $69k – $147k per year (Estimated)
Location
Remote (EAEU)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Extyl Pro (Extyl) is a Russian software development agency and system integrator based in Moscow that specializes in enterprise web development and digital transformation. Founded in 2005, the company builds high-load web portals, corporate intranet systems, e-commerce platforms, and custom mobile applications for major domestic enterprises. As a long-standing top partner of the 1C-Bitrix ecosystem, Extyl focuses on automating complex business processes and delivering full-cycle IT solution engineering for clients in retail, finance, and industrial sectors.
Навыки: SQL, DWH. Квалификация: Middle. Специализации: Системный аналитик.
Требования:
- Фокус: CDP, DWH-модели, dbt, Data Vault 2.0
- Стек: SQL, dbt, Data Vault 2.0, Data Modeling, Source-to-Target Mapping, Data Documentation in English.
- Опыт работы аналитиком данных / analytics engineer от 3 лет.
- Уверенный SQL.
- Практический опыт с dbt.
- Понимание принципов моделирования данных.
- Опыт или хорошее понимание Data Vault 2.0.
- Умение документировать данные, метрики и бизнес-правила.
- Готовность писать описание данных на английском языке.
- Самостоятельность на уровне Middle+: умеет разбираться в источниках, задавать правильные вопросы и доводить модель до production-ready состояния.
Будет плюсом:
- Опыт в CDP / CRM / customer analytics.
- Опыт работы с DWH и витринными слоями данных.
- Понимание event-driven данных и клиентских событий.
- Опыт описания data contracts, data lineage или business glossary
Обязанности:
- Разработка и поддержка моделей данных в dbt.
- Проектирование аналитических сущностей и витрин.
- Работа с Data Vault 2.0: hubs, links, satellites, marts.
- Написание и оптимизация SQL-запросов.
- Описание данных и подготовка технической документации на английском языке.
- Анализ источников данных и согласование бизнес-правил.
- Участие в развитии CDP-контуров: клиентский профиль, события, атрибуты, сегменты.
- Проверка качества данных и базовая data validation.
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