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We are looking for an experienced Data System Engineer. In our team we are not only keeping our Big Data (Hadoop eco-system) up and running but we constantly try to step into development by creating our own Batch and Streaming applications as well as helping other teams and stakeholders to improve/tune their applications. We also operate in a cross functional team that consists of system engineers and developers and operates in Scrum style. All the tasks are planned for two weeks sprints.

Your responsibilities:

  • Build, maintain and optimize the PAYBACK BigData platform (MapR / HPE Ezmeral Data Fabric) and the Confluent Kafka Cluster setup.
  • Monitoring, alerting, troubleshooting problems and optimization are part of the duty.
  • You will be involved in DATA and process migration to Google Cloud.
  • Research and Development on tools and technologies around DATA is part of team activities.
  • Actively improving ansible automation.

Your Profile:

  • You have a Bachelor/Master-Degree in IT or a relevant work experience.
  • Experience and good understanding of Confluent Kafka.
  • Experience and good understanding of Hadoop eco-system (Spark, Hive, Hue, Livy, Yarn, Zookeeper, etc.) .
  • Knowledge of MapR / HPE Ezmeral Data Fabric is an advantage.
  • Outstanding know-how in Linux administration/maintenance.
  • Good knowledge in Ansible automation.
  • You are curious and have high interest increasing your know-how in new technologies.
  • Experience in analytical tools like JupyterHub.
  • Experience in containerization is an advantage (Docker, OpenShift).
  • Experience in further database technologies (PostgreSQL, Redis, Cassandra) is an advantage.
  • Experience in Cloud Hyperscalers (GCP, AWS, etc.) is an advantage.
  • Your focus relies on service and customers.
  • You are working self-reliant and autonomous within the team.
  • Good communication skills in English and please send English CV.

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.
Benefits? We have them! Among other: corporate incentive program, sport card, private medical care.
Dress code? We definitely say no. There are no rigid dress code rules in our company, sneakers are more than welcome.
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.
Convenient location? Sure! We invite you to our new office at Rondo Daszyńskiego, but we are currently also working remotely.
‎Something is missing? Open communication is our priority, so dare to ask!‎
Don't wait and send your CV!