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Skopiowano do schowka.

Your responsibilities:

  • As Big Data System Engineer, you will have a significant influence on how everyday IT Operations of PAYBACK BigData are performed.
  • Responsible to build, maintain and optimize the PAYBACK BigData (Hadoop eco-system) and Realtime platform including operating system.
  • Monitoring, solving problems and optimization are part of the duty.
  • Evaluating tools and technologies within the area of responsibility of the team (Stream, BATCH-Processing, ETLs, SQL Engines, Analytics, Machine Learning).

Your Profile:

  • Bachelor/Master-Degree in IT or a relevant work experience.
  • Analytical and problem solving mindset.
  • Knowledge in the state of the art technologies in the area of BigData/Realtime are highly welcome (Hadoop ecosystem, Kafka, Cassandra, Airflow, Jupyterhub etc.).
  • Outstanding know-how in Linux administration/maintenance.
  • Base knowledge in network technologies.
  • Experience with further database technologies (PostgreSQL, Redis, Cassandra) is an advantage.
  • Experience with Cloud-Systems (GCP, AWS, etc.) is an advantage.
  • Experience with DEVOPS-Methods.
  • You are curious and have high interest increasing your know-how in new technologies.
  • Your focus relies on service and customers.
  • You are working self-reliant and autonomous within the team.
  • Very good English language.
  • An additional advantage will be knowledge of German.

How about?

Employment contract? Of course. With us you do not have to worry about stable employment.
‎Flexible working hours? Sounds great! We start working between 8 to 10.
Friendly atmosphere at work? Yes! In PAYBACK, people are the most important asset‎.
Dress code? We definitely say no. There are no rigid dress code rules in our company, sneakers are more than welcome.
Convenient location? Sure! We invite you to our new office at Rondo Daszyńskiego, but we are currently also working remotely.
Benefits? We have them! Among other: corporate incentive program, sport card, private medical care.
Trainings? Of course. We provide training to develop hard and soft skills.
Working in a hybrid model? Of course! You work with us 2 days a week from the office, 3 days a week from home.
‎Something is missing? Open communication is our priority, so dare to ask!‎
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