⚠︎ Архивная вакансия
Эта вакансия была перемещена в архив. Возможно она уже не актуальна и рекрутер больше не принимает отклики на эту вакансию. Вы можете  найти актуальные похожие  вакансии

Python Data Engineer

Прямой работодатель  Scorum ( scorum.com )
Москва, Россия
Сеньор
Информационные технологии • Разработка • Python • MySQL • AWS • Backend • ML/AI • Киберспорт • Консалтинг, профессиональные услуги
7 сентября 2021
Удаленная работа
Опыт работы от 3 до 5 лет
от 4 000 до 6 000 $
Работодатель  Scorum
Описание вакансии

ABOUT SCORUM

Scorum is a growing IT product company founded in 2017. We develop AI-powered high-load B2B products for online entertainment.

Scorum products are in high demand in the international market. Therefore, the plans are to attract new experts and grow.

Strong specialists from Belarus, Ukraine, Russia, and Europe work remotely in the company.

We minimize bureaucracy, maintain a flat structure in the company.

80% of our team are senior engineers and designers who are passionate about the products. Today the company has over 50 employees.

Flexibility, comfort, growth, professionalism, family, opportunity — these are the words our employees describe Scorum.

ABOUT THE PROJECT

Now we're starting a new ML B2B project in the gaming industry. We have 2 recommendations ML-based systems in productions, and now scaling the Python development team.

ABOUT THE POSITION

We are looking for a Data Engineer who will develop and support API, ETL-s around ML pipelines.

Responsibilities mostly include greenfield development and enhancing the existing ecosystem. We follow SRE, thus it will be mandatory to support and maintain the whole solution on QA and PROD stages.

EXPECTED SKILLS

∙ Strong knowledge of Python 3;

∙ Strong knowledge of DBs and SQL;

∙ Knowledge of multiprocessing and multithreading;

∙ Knowledge of Asynchronous programming in Python;

∙ Knowledge of data structures and algorithms;

∙ Knowledge of containers — Docker;

∙ Understanding how to properly do logging and metering and identify bottlenecks.

 

WOULD BE A PLUS

∙ Knowledge of ML basics;

∙ Knowledge of testing approaches;

∙ Knowledge of Kubernetes;

∙ Knowledge of Airflow;

∙ Knowledge of S3;

∙ Knowledge of Cloud: AWS, DigitalOcean.

 

CULTURE & BENEFITS

∙ You can work remotely and/or from the office, online meetings usually schedule from 11 to 17;

∙ We use 25 calendar days of vacation and 5 personal days per year;

∙ Also, our company suggest medical insurance;

∙ We appreciate the professionalism and responsibility of our colleagues. Thus, we have no time trackers;

∙ Have fun with the team at offline or online soulful parties;

∙ We pay for employee training.

 

OUR VALUES

Stay flexible

Speak honestly

Increase expertise

Emit kindness

Play smart

Seize opportunities