Если вы раньше входили через Google, сбросьте пароль для своей Gmail-почты через кнопку «Забыли пароль?» на экране входа. Затем войдите по email и новому паролю.
Если аккаунта ещё нет, зарегистрируйтесь с Gmail-почтой, после подтверждения почты мы предложим задать пароль.
Что нового
Загружаю обновления...
Что нового
Загружаю обновления...
Работа найдется быстрее с подпискойКандидат найдётся быстрее с подпиской
Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузите резюме
описание
Moonfare provides access to sought-after private market funds and alternative investments, applying a rigorous vetting process to build institutional-quality portfolios for investors. The company operates from eight offices across Europe, the US and Asia.
задачи
Build and maintain data pipelines from ingestion through to storage;
Take end-to-end ownership of pipeline components;
Model data using data lake and warehouse concepts, and contribute to performance improvements through partitioning, file formats and tuning;
Apply data governance and security practices, including least-privilege IAM, encryption and PII handling;
Support data quality, coding consistency and data availability;
Collaborate with analysts and stakeholders to translate requirements into working data solutions;
Identify, formulate and propose improvements to personal and team practices.
требования
2–4 Years of hands-on experience building and maintaining data pipelines in production;
Strong Python and advanced SQL skills;
Basic Scala experience or willingness to learn it;
Excellent knowledge of Java or C# as an alternative to Scala experience;
Familiarity with DBT models, tests and documentation;
Solid working knowledge of AWS or another major cloud provider;
Experience with relational databases and data warehouses;
Confidence with Git, CI/CD and modern deployment practices;
Practical experience with Docker;
Solution-oriented mindset, strong attention to detail, and openness to feedback and mentorship;
Nice to have: Experience with Apache Spark or a similar distributed processing framework, working knowledge of K8, Bash scripting, Flyway or similar SQL migration tools.