• Remote
  • Указана зарплата
  • Python
  • Ruby
  • Python
  • Docker
  • Git
  • Linux
  • Sql
  • Ruby
  • DevOps
  • Kubernetes
  • XML
22.06.22

О работе

локація:

  • Almaty
  • Krakow
  • Lublin
  • Nur-Sultan
  • Remote.BG
  • Remote.KZ
  • Remote.PL
  • Sofia
  • Tbilisi
  • Wroclaw
  • Yerevan


CLIENT

The client is an international company that provides an online genealogy service that helps its clients understand their past and family history.

We invite you to our company, not a project

PROJECT OVERVIEW

The team employs pair/mob programming and DevOps practices; works together in a shared online space (e.g. team zoom rooms); has autonomy to make technology decisions that best fit the problems they’re tasked with; works cross-functionally with other internal teams and external partners. The team follow Scrum methodology. Regarding the work schedule, each employee should be available till 4pm UK time.

We create a restriction-free environment

We let you concentrate on your job

Responsibilities

  • Building and maintaining data workflows for processing a constant flow of data, both historical records and newspapers on client's sites
  • Building and maintaining the tooling service used by our internal teams for managing the data on the site
  • Managing the storage of large quantities of document images and OCR data in a secure and efficient way

Requirements

  • Good knowledge of Ruby or Python programming languages
  • Experience in SQL databases and managing large amounts of data
  • Comfortable working with Linux/Unix terminals
  • Working knowledge of, or an interest in the image data processing
  • A hands-on approach to getting stuff done
  • A curiosity to learn and widen your skillset
  • Good spoken English

Nice to have

  • Focus on quality, with testing experience and a willingness to pair collaboratively
  • Background in DevOps/Systems Administration
  • Experience with Docker, Git, Kubernetes
  • Experience with XML processing
  • Working knowledge of, or an interest in image data processing


Send CV


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