Data Systems Engineer

2 days ago


Kraków, Lesser Poland, Czech Republic beBeeData Full time 900,000 - 1,200,000

Key Job Responsibilities

  • Design, build, and automate Hadoop clusters and related services to drive business value.
  • Work across the technology stack – from backend containerized services and APIs to front-end UI solutions – delivering automation tools and system improvements.
  • Collaborate with solution architects, engineers, and stakeholders to create robust, resilient, and scalable platform components that meet business needs.
  • Play a key role in incident management, troubleshooting, and performance tuning of big data solutions to ensure high availability and operational excellence.
  • Support users by managing Linux accounts, Kerberos principals, and verifying access across HDFS, Spark, and MapReduce.

About the Role

  • This is a challenging opportunity for a highly skilled Full Stack Engineer to work on designing, building, and automating Hadoop clusters and related services.
  • The ideal candidate will have hands-on experience with Big Data, Cloud, Cloudera, Hadoop, Hive, Spark, HDFS, Kafka, Yarn, Apache ZooKeeper, Performance tuning, Security, TLS, Kerberos, Linux, Shell, Jenkins, Ansible, Apache Spark, Kanban, Storage, Microservices, Kubernetes.
  • We offer a collaborative and dynamic environment where you can thrive and grow your career.

Benefits

  • Be part of a highly strategic initiative at the heart of a global organization.
  • Work with a modern, hybrid platform that spans on-premises and cloud environments.
  • Contribute to transformational projects shaping the resilience, scalability, and automation of enterprise-scale data systems.
  • Collaborate with top-tier engineers, data scientists, and architects across the globe.
  • Thrive in a culture that values innovation, ownership, and continuous improvement.

Requirements

  • Experience with Big Data, Cloud, Cloudera, Hadoop, Hive, Spark, HDFS, Kafka, Yarn, Apache ZooKeeper, Performance tuning, Security, TLS, Kerberos, Linux, Shell, Jenkins, Ansible, Apache Spark, Kanban, Storage, Microservices, Kubernetes.


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