Cloudera Full Stack Engineer

Join us, and transform how data drives global finance!

Kraków – based opportunity with hybrid work model (2 days/week in the office).

As a Cloudera Full Stack Engineer, you will be working for our client, a global financial services leader undergoing a large-scale data transformation program. You are joining a cross-functional Agile team that is designing and building enterprise-grade Big Data platforms using Cloudera technologies. You are contributing to the full development lifecycle—from system setup and configuration to deployment, monitoring, and continuous optimization—while ensuring 24/7 environment availability. You are also helping the client evolve its data ecosystem by integrating scalable storage solutions, enabling faster processing and analytics at a massive scale.

Your main responsibilities: Developing and testing Big Data components in a Cloudera-based environment

• Creating and configuring new Hadoop users and managing Kerberos authentication
• Setting up and maintaining Spark, HDFS, and MapReduce access
• Monitoring and tuning performance of Apache Spark jobs
• Executing end-to-end Cloudera cluster installation and capacity planning
• Automating deployments using Jenkins and Ansible
• Managing platform security using Apache Ranger, Knox, and Kerberos
• Troubleshooting and resolving system-level issues and incidents
• Collaborating with data engineers to optimize processing pipelines
• Incorporating centralized S3-based storage across the processing stack

You’re ideal for this role if you have:

• 5+ years of experience with Big Data solutions in on-prem or cloud environments
• Hands-on expertise with Cloudera tools including Hive, Spark, HDFS, and Kafka
• Proficiency in Linux system administration and shell scripting
• Strong understanding of Hadoop platform security and encryption practices
• Experience implementing CI/CD pipelines using Jenkins and Ansible
• Ability to troubleshoot performance and infrastructure issues
• Knowledge of Agile and DevOps principles
• Strong problem-solving skills and independent thinking
• Excellent communication and collaboration skills
• Familiarity with capacity planning and operational support in data platforms

It is a strong plus if you have:

• Exposure to centralized S3 data storage systems like VAST
• Experience optimizing Spark workloads for large-scale processing
• Background in working with Apache Ranger and Knox for advanced security
• Familiarity with Agile and Kanban project methodologies

#GETREADY  to meet with us!

We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can always also apply by sending us an email at recruitment@itds.pl.

Internal number #7403