Senior Data Engineer (Scala/Spark)
Workplace: Remote, Lublin, Kraków
Requirements
Experience & Knowledge
Proactive individual, goal driven and target oriented with strong problem solving skills
ability to work in Linux
communicative English
Technologies & skills
Data Warehouse concepts
Scala or Java
Experience with big data platforms
SQL
Kafka
Spark
HTTP
Responsibilities
40%
Creating distributed applications based on Spark / Kafka / and in general tools from the Hadoop ecosystem
30%
Creating concepts / documentation
25%
Having direct contact with a client
5%
Self-development
Benefits
The culture and work process at Codete is collaborative and team oriented. In exchange for your contribution and skills, we guarantee:
Values & Atmosphere
  • fair play game
  • flexible attitude
  • international bussiness trips
  • social events & awaydays
  • support for your ideas
Personal development
  • external conferences
  • technical & soft skills trainings
  • switching between projects/technology
  • English classes
  • internal library
Health & Relax
  • private health care
  • multisport card
  • sport events
  • chill out room
  • fresh fruits & juicer
Knowledge & culture
  • open source initiatives
  • CodeteCON
  • R&D department
Recruitment process
We make an effort to assess your skills best and match them to a project which meets your expectations.
1
Apply
Send your resume. Successful applicants will receive an invitation for a job interview in our office or remotely via Skype.
2
Job interview
You will meet our HR and Tech Recruiters. Your knowledge will be assessed during the interview process.
3
Meeting with Product Owner
You will find out more about the project and meet key people in the team.
4
Welcome on board
Extended feedback
The Codete Evaluation Report™ is individually tailored for every candidate. It identifies strong points and possible deficiencies to work on with recommendations. CER is an extensive document, which will be sent by mail.
Apply for this job
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