{"id":3447429,"url":"https://alion.io/job/globerce-capital-data-engineer-v-fintech","title":"Data Engineer в Fintech","company":{"id":4428543,"name":"Globerce Capital","domain":"globerce.capital","url":"https://alion.io/company/globerce","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Almaty, Kazakhstan"],"countries":["KZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14000,"max_usd":38000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"GitLab CI","optional":true},{"name":"PostgreSQL","optional":true},{"name":"SQL","optional":true},{"name":"TimescaleDB","optional":true}],"status":"live","first_seen_at":"2026-10-29T06:34:59Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-05T14:58:43Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Привет!\n Мы IT-компания Globerce Capital. Рады знакомству!\n IT-холдинг Globerce Capital - это команда молодых и амбициозных профессионалов. Мы проводим полный цикл разработки продукта (Fintech, e-commerce, telecom), включая консалтинг, проектирование, внедрение и поддержку комплексных IT-решений для бизнеса.\n Мы ищемData Engineer уровня middle к нам в команду!\n Обещаем сложные и интересные задачи, а также амбициозные, масштабные проекты!\n По задачам:\n Поддерживать и развивать платформу данных онлайн-оценки: сервисы сбора данных из внешних источников\n\n ETL/ELT пайплайны на Python и Airflow\n\n Создавать банковский Feature Store для ML-моделей\n\n Внедрять Data Quality и мониторинг пайпланов данных\n\n Развёртывать и диагностировать приложения в Kubernetes\n\n Hard skills:\n Разработки на Python или другом языке программирования\n\n Реляционные базы данных, понимание OLTP и OLAP\n\n Разработка и поддержка ETL/ELT pipeline\n\n Airflow или аналоги\n\n Linux, Git и CI/CD\n\n Развёртывание и диагностика приложений в Kubernetes\n\n Принципы контроля качества данных\n\n Будет плюсом:\n Опыт работы с ClickHouse\n\n Опыт работы с Feature Store и подготовки данных для ML-моделей\n\n Опыт внедрения Data Quality и каталогов данных\n\n Наш стэк:\n Python, SQL, PostgreSQL, TimescaleDB, ClickHouse, Airflow, Linux, GitLab CI/CD. 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