Data System Engineer

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.

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!‎

• 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.

• 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.