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Python developer (Space)

Требуемые навыки

Разработка ПОСтарший (Senior) · Python · R · Pandas · Numpy

Местоположение и тип занятости

Москва, Санкт-Петербург, Воронеж · Полный рабочий день · Можно удаленно

Компания

Системная интеграция

Описание вакансии

The Statistical data Production And Compilation Environment (SPACE) is a top notch enterprise analytics platform which is developed from scratch for one of the world's leading banks. 

This will enable statisticians, economists and data scientists to carry out daily business processes related to forecasting of macroeconomic indicators, report generations using a state of the art big data analytical platform. 

Your tasks:

  • Develop pool of libraries and pipelines for different business processes;
  • Ensure code standards and software quality;
  • Take care of CI/CD part;
  • Identify system deficiencies and recommends solutions;
  • Perform code reviews and provide mentorship to team members;
  • Share your knowledge within the team and between the teams.

Along with that, you will be part of an international agile team: participate in daily, review and retrospective meetings.


“Our goals are to create easy-to-use instruments for real users and reduce complexity of business processes. SPACE is a lighthouse project with an ambitious team that is waiting for you to grow together with you!”
                                                                        Daniil Shulgin, Head of Delivery Unit

We are expecting from you:

  • Experience in an analytical environment (e.g. BI, Controlling, Web Analytics, Data Science) 
  • Solid coding skills in Python3, especially including the frameworks Pandas, Numpy, Matplotlib
  • Well knowledge of DevOps methodology and utils, familiar with k8s.
  • Familiar with Big Data ecosystem
  • Written and verbal communication skills in English, ability to communicate effectively in a global team
  • Good understanding of Agile practices and frameworks 

Would be your plus:

  • Familiar with R development, especially including the frameworks R Markdown, ggplot2; experience with RStudio
  • Experience with JupyterHub
  • Experience with Business Workflow Manager like Camunda 

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