{"id":4006993,"url":"https://alion.io/job/kcell-senior-data-engineer-data-platform","title":"Senior Data Engineer (Data Platform)","company":{"id":47181,"name":"Kcell","domain":"kcell.kz","url":"https://alion.io/company/kcell","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":"senior","employment_type":null,"work_mode":"on_site","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":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Feature Store","optional":false},{"name":"Flink","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false},{"name":"Docker","optional":true},{"name":"Java","optional":true},{"name":"kubectl","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-11-10T07:37:55Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T06:07:03Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Задачи:\n Подключать источники: реляционные и NoSQL БД, API, файлы, CDC. Настраивать batch/ELT-загрузки и выгрузки во внешние системы.\n Разрабатывать в Lakehouse справочники, факты, витрины и сервисные датасеты, учитывая объёмы, историчность и сценарии потребления.\n Делать near-real-time пайплайны на Kafka и Flink: доставка, фильтрация, обогащение и маршрутизация событий.\n Готовить и публиковать признаки в Feature Store для ML/AI и скоринга.\n Оптимизировать SQL-запросы, модели и структуру таблиц: партиционирование, compaction, schema evolution.\n Писать проверки качества данных (dbt, SQL, Python), настраивать мониторинг, разбирать инциденты и расхождения.\n Описывать data products в каталоге: metadata, lineage, owner, SLA.\n Обязательно :\n От 2 лет опыта в Data Engineering (DWH / Data Lake / Lakehouse).\n Сильный SQL: оконные функции, все типы JOIN, чтение EXPLAIN / ANALYZE, понимание физических join-стратегий, predicate pushdown, partition pruning.\n Понимание моделирования DWH: звезда/снежинка, SCD, слои хранения.\n Опыт с Airflow или другим оркестратором, а также с dbt (models, tests, sources, macros, contracts).\n Базовое понимание Iceberg, Trino, Parquet/Avro.\n Опыт интеграции данных из БД, API, файлов, Kafka, CDC.\n Linux, Python/Bash, Git, базовое понимание CI/CD.\n Высшее техническое образование.\n Будет плюсом:\n Kafka (партиции, offset, consumer groups, delivery guarantees), Schema Registry.\n Flink (event time, watermarks, state, checkpoints) и Java на уровне доработки Flink-приложений.\n Docker и Kubernetes (kubectl, deployment, configmap/secret).\n Опыт подготовки признаков для ML, работы с каталогом данных и lineage.\n Опыт в телекоме.\n Русский, казахский и английский на рабочем уровне.\n Условия:\n Временная позиция: на период декретного отпуска сотрудника.\n Достойная зарплата.\n Ежегодный отпуск 24 дня и ещё 4 дополнительных дня после того, как использованы основные 24.\n После испытательного срока компания частично компенсирует расходы: медицина: приёмы врачей, анализы, медикаменты, УЗИ, МРТ;\n образование: курсы, книги, школа и детский сад для детей;\n спорт: тренажёрный зал, секции, бассейн, йога, танцы;\n путешествия: путёвки по Казахстану и за рубеж, авиа- и ж/д билеты, гостиницы.\n\n Корпоративная мобильная связь.\n Можно расти как вверх по должности, так и в соседние направления.\n Возможны командировки.","description_format":"text","description_chars":2341,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Russian","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile Networks"],"lifecycle":[{"event":"open","at":"2026-11-10T07:42:05Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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