Senior Big Data Engineer (Scala/Spark) (offline)
As a part of our growing team, we are looking for an experienced Senior Big Data Engineer to join the project with the American company.
Project description:
Client is an American e-book and audiobook subscription service that includes one million titles. Platform hosts 60 million documents on its open publishing platform.
The platform allows:
β anyone to share his/her ideas with the world;
β access to audio books;
β access to worldβs composers who publish their music;
β incorporates articles from private publishers and world magazines;
β allows access to exclusive content.
Required skills:
β 5+ years of professional experience
β Solid experience with Scala and Spark.
β Experience with AWS
β Great coding skills and software development experience
β Level of English: Upper-Intermediate
β Watched all seasons of βRick and Mortyβ
Responsibilities:
β Perform tasks related to data migration
β Work under a close supervision of Senior Big Data Engineers and help them execute the compute migration.
We offer:
β High compensation according to your technical skills
β Long-term projects (12m+) with great Customers
β 5-day working week, 8-hour working day, flexible schedule
β Democratic management style & friendly environment
β WFH option (Possibility to work from home)
β Annual Paid vacation β 15 b/days + unpaid vacation
β Paid sick leaves β 6 b/days per year
β Ukrainian official holidays
β Corporate Perks (external training, English courses, corporate events/team buildings)
β Cozy office in the center of the city
β Coffee, cookies and other goodies
β Professional and personal growth
Project description:
Client is an American e-book and audiobook subscription service that includes one million titles. Platform hosts 60 million documents on its open publishing platform.
The platform allows:
β anyone to share his/her ideas with the world;
β access to audio books;
β access to worldβs composers who publish their music;
β incorporates articles from private publishers and world magazines;
β allows access to exclusive content.
Required skills:
β 5+ years of professional experience
β Solid experience with Scala and Spark.
β Experience with AWS
β Great coding skills and software development experience
β Level of English: Upper-Intermediate
β Watched all seasons of βRick and Mortyβ
Responsibilities:
β Perform tasks related to data migration
β Work under a close supervision of Senior Big Data Engineers and help them execute the compute migration.
We offer:
β High compensation according to your technical skills
β Long-term projects (12m+) with great Customers
β 5-day working week, 8-hour working day, flexible schedule
β Democratic management style & friendly environment
β WFH option (Possibility to work from home)
β Annual Paid vacation β 15 b/days + unpaid vacation
β Paid sick leaves β 6 b/days per year
β Ukrainian official holidays
β Corporate Perks (external training, English courses, corporate events/team buildings)
β Cozy office in the center of the city
β Coffee, cookies and other goodies
β Professional and personal growth
About KitRUM
Who we are?KitRUM is a one-stop custom software development company headquartered in sunny Florida with development centers in Ukraine and Poland.
With a pool of 300+ top-notch engineering resources, we help CxOs of VC-backed startups and fast-growing tech companies in the US, EU and Australia to custom build software engineering teams packed with top-tier talent.
Why us?
We realize that one of the most crucial things for developers β adequate client and fascinating project. So we qualify our Clients to make sure that they:
β have an idea that they believe will make the world a better place;
β think long-term and looking for a trusted-tech partner;
β want to rely on and avoid micromanaging;
β are not f$%$ing jackasses :-)
Company website:
https://kitrum.com/
DOU company page:
https://jobs.dou.ua/companies/kitrum/
The job ad is no longer active
Job unpublished on
5 October 2020
Look at the current jobs Scala Kyiv→
Average salary range of similar jobs in
analytics β