All offersWrocławScalaBig Data Engineer
Big Data Engineer
Scala
SoftServe

Big Data Engineer

SoftServe
Wrocław
Type of work
Undetermined
Experience
Mid
Employment Type
Permanent, B2B
Operating mode
Remote

Tech stack

    Scala
    regular
    Hadoop
    regular
    Scrum
    regular
    English
    regular

Job description

Online interview
WE ARE

One of the top European banks included to the top 10 financial services companies in Europe based on market capitalization. The bank serves customers through a presence in 19 countries, including four Nordic home markets – Denmark, Finland, Norway, and Sweden. Combined, the economies of these four Nordic countries represent the world's 10th largest economy.

YOU ARE 

  • Showing at  least 3 years of experience with Scala programming language
  • Experienced in  Hadoop stack: YARN, Sqoop, Hive, Impala, MapReduce, Oozie, etc.
  • Skilled in Functional Programming/libraries (like cats, scalaz, etc.) or other functional programming languages (Haskell, Clojure, Erlang, etc.)
  • Working in Agile methodology (SCRUM)
  • Experient with JIRA, Bitbucket, Jenkins, Github, etc.
  • Familiar with streaming technologies such as Flink and Kafka
  • Showing a concept of Scripting Linux and Shell
  • Experienced in test-driven development
  • Demonstrating Upper-intermediate English level (both spoken and written)

YOU WANT TO WORK WITH

  • International Engineering team, as a part of the top-experts team
  • Participating in world-class challenges, work with cutting-edge technologies, and get the latest certifications
  • Bank Big data team on the project which composes of Scrum teams

TOGETHER WE WILL

  • Accomplish great things
  • Get a great deal of learning and development opportunities along with our structured career path
  • Care about your individual initiatives — we are open for them, come and share your ideas
  • Take part in internal/external events where you can build and promote your personal brand
  • Give you access to experienced specialists eager to share their knowledge
  • Enjoy flexible working hours and absence of dress code