{"id":3797670,"url":"https://alion.io/job/infotecs-inzhener-dannykh-data-engineer-10","title":"Инженер данных (Data engineer)","company":{"id":13190,"name":"Infotecs","domain":"infotecs.ru","url":"https://alion.io/company/infotecs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"C","score":68,"open_postings":13,"ghost_share":0.385,"stale_share":0,"repost_share":0.615,"time_to_fill_p50_days":24,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ufa, Russia"],"countries":["RU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"ClickHouse","optional":false},{"name":"Docker","optional":false},{"name":"Docker Compose","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Linux","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-05T10:05:08Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-09T11:59:25Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"ГК \"ИнфоТеКС\", входящая в ТОП-5 компаний России в сфере защиты информации, лидер в разработке средств защиты информации, приглашает Инженера данных\n Обязанности:\n Наладить потоковую или batch-поставку данных, организовать оркестрацию задач (например, Airflow).\n Настраивать автоматический сбор данных из разных источников (базы данных, API, файлы, очереди сообщений).\n Развивать и оптимизировать текущую архитектуру хранения: организовывать долгосрочное хранение данных (Data Lake / Parquet), обеспечивать интеграцию между источниками и аналитическими БД.\n Поднимать и поддерживать тестовые стенды для отработки сценариев сбора данных (Docker Compose, генераторы тестовых данных).\n Разработка бенчмарков для оценки функциональных и нефункциональных характеристик решений.\n Требования: Опыт разработки на Python и уверенное владение SQL.\n Уверенное владение командной строкой Linux.\n Опыт работы с источниками данных: реляционные БД (PostgreSQL), аналитические БД (ClickHouse) и файловые системы/объектные хранилища (FTP/NFS/S3).\n Навыки контейнеризации (Docker/LXD) и умение поднимать локальные стенды для тестирования своих пайплайнов.\n Опыт написания ETL-скриптов на Python (включая библиотеки pandas, polars или PyArrow) для трансформации и перемещения данных между источниками.\n Умение писать простые бенчмарки (замерять время, память, CPU).\n Условия:\n работа в офисе в г. 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