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Python data engineer

Заблокована
 19 вересня 2019  Київ 
Компанія: StarOfService  (https://jobs.ua/company-starofservice-1576220) (Всі вакансії)
Рубрики:IT, WEB фахівці

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Опис вакансії

StarOfService a fast growing dynamic startup and a market leader in Europe. Our product is adopted for 80+countries world-wide (which is interesting and definitely a challenge).

We are looking for a passionate Data Python engineer for building something great; in terms of user experience, code quality, best practices and best technologies.

This will be a full-time long term remote freelancing contract (40hrs/week, can run for years)
Knowing good level of English is important and required to work in a multicultural team

Available to join ASAP

The current position gives a great opportunity for professional growth, so if you’re the kind of self-motivated engineer, who is ready to learn new technologies, latest best practices and stay on the edge of the industry tendencies.

ARE YOU CONFIDENT ABOUT HAVING:

Experience in: — Python (generic, ORM, numpy, pandas)
Building and maintaining critical ETL pipelines
Data analysis
SQL, Redshift
Docker, Kubernetes

APPLICATION & SELECTION PROCESS

The selection process is simple: HR interview > Technical interview > Next 1 final meeting to discuss and finalize contract terms / payment terms etc.

Will be plus:

— Elasticsearch
— Google Adwords automation
— Machine Learning
— Superset/Tableau

We offer

— This will be a full-time long term remote freelancing contract (40hrs/week, can run for years)
— Knowing good level of English is important and required to work in a multicultural team
— Available to join ASAP

Responsibilities

— Support existing and build new ETL pipelines
— Developing tools to automate business operations: e.g. Adwords automation
— Build components which will find best executive for customers needs
— Collaborate with engineering and product development teams

Project description

StarOfService a fast growing dynamic startup and a market leader in Europe. Our product is adopted for 80+countries world-wide (which is interesting and definitely a challenge). AWS is used and our servers are running in 4 different regions.

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