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Senior Big Data Platform Engineer - 5372

years of experience

What is it like to work in UC colors?

One thing’s certain all 300+ of our colleagues would say the same: it’s a truly unique and unrepeatable experience. At UC, professional growth and personal development go hand in hand. From tailored professional trainings to team-building events, we make sure work is both inspiring and fun.

You can enjoy the vibe at IT Fest, enjoy the scenic Balaton Circle on two wheels or on foot, unwind in our cozy kUCkó, unleash your creativity during themed craft afternoons, or make a difference through our charity events.

The client/project

Responsibilities

  • Design, implement, and operate enterprise data platforms across on-premise, IaaS, PaaS, and SaaS environments
  • Support and troubleshoot Cloudera Data Platform (CDP) environments, including upgrades and migrations
  • Diagnose and resolve complex issues between Spark and Hive, particularly in secured (Kerberos-enabled) environments
  • Configure and maintain authentication and authorization mechanisms (e.g., Kerberos, LDAP, Active Directory, SAML)
  • Manage and troubleshoot Key Management Server (KMS), Ranger, and related security components
  • Ensure proper configuration and operation of Hadoop ecosystem components (HDFS, Hive, Impala, HBase, NiFi)
  • Implement and maintain data processing and transformation pipelines
  • Apply DevOps practices, including automation, CI/CD, and infrastructure as code
  • Perform log analysis and root cause investigation for platform incidents
  • Collaborate with cross-functional and international teams
  • The candidate is required to have fluent Polish language skills and at least a B2 level of English proficiency.

Required skills/technologies used

  • Minimum 10 years of experience delivering data-related projects
  • Proven experience with Enterprise Data Cloud environments, especially Cloudera Data Platform
  • Strong expertise in Apache Spark and Apache Hive
  • Hands-on experience with Hadoop ecosystem technologies (HDFS, Hive, Impala, HBase, NiFi)
  • Solid understanding of data management concepts (data warehousing, ETL, data integration)
  • Experience with DevOps methodologies and tools (e.g., Jenkins, Ansible, Puppet, Chef)
  • Knowledge of distributed system security, including Kerberos-based authentication and authorization
  • Experience with tools such as Zookeeper and Key Management systems
  • Strong analytical and problem-solving skills in complex enterprise environments

Advantages

Why should you join us?

  • Because we can count on each other, we form a professional and human community.
  • Opportunity to participate in professional trainings, conferences.
  • With your success and professional knowledge, you can build your career continuously.
  • Stable company, market leading customers.
  • You can participate in exciting team buildings and events.
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