Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$47к$64кмедиана$84к
45 в выборке
На СНГ рынке: $2.6к/мес ($1.5к - $3.3к)
77
Хорошая вакансия
развернуть
У роли понятные задачи, практичные требования и актуальный стек, но без зарплаты сложно оценить предложение относительно рынка.
Кликните для подробной информации
Зарплата не указанаАктуальный стекПонятные задачиСтартап-средаГибкий подход
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (BigQuery): Building and evolving an analytics warehouse and data pipelines from product and marketing sources with an accent on BigQuery, Python ETL/ELT, SQL optimization, and warehouse modeling. Focus on integrating external APIs, implementing data quality and versioning practices, and translating product and marketing needs into reliable data structures.
Location: Hybrid in Warsaw, Poland — 2 days in the office and 3 days remote
Company
hirify.global is a technology startup building subscription and mobile-oriented products supported by analytics infrastructure.
What you will do
Build and evolve the analytics warehouse on BigQuery.
Set up data pipelines from product and marketing sources such as AppsFlyer, Adjust, RevenueCat, Amplitude, Mixpanel, and Facebook Ads.
Shape data for analysts and product managers and document the data model.
Establish warehouse practices including raw, staging, and marts layers, naming conventions, versioning, and data quality tests.
Work with product, marketing, and analytics stakeholders to translate business questions into data structures.
Requirements
2+ years of hands-on data engineering experience, or a strong analytics background with a real engineering component.
Production experience with Python for ETL/ELT scripts, APIs, and pipeline automation.
Experience with GCP, including BigQuery, Cloud Functions, and Cloud Storage.
Confident SQL skills, including window functions, CTEs, and query optimization.
Understanding of analytics warehouse principles, idempotency, incremental loads, and normalization versus denormalization.
Experience with external API integrations, Git branching, code review, and communication with non-technical stakeholders.
Nice to have
Experience with AppsFlyer, Adjust, Adapty, Amplitude, or Mixpanel.
Knowledge of mobile attribution, including SKAdNetwork, postbacks, and deterministic versus probabilistic attribution.
Experience with BI tools such as Looker Studio, Metabase, Tableau, or Power BI.
Terraform or IaC experience for GCP resources.
Experience with CDC or streaming technologies such as Pub/Sub and Dataflow.
Culture & Benefits
Hybrid work with three remote days per week.
Lunch covered on office days.
Startup environment with low bureaucracy and no micromanagement.
Flexibility focused on results rather than fixed working hours.
Team offsites and events throughout the year.
Opportunity to contribute ideas and work creatively.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →