Hadoop engineer

Riyadh, SA · On-site · Full-time

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About the role

HadoopLinux

Kanz is partnering with Kanz 123 to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life. Company Name: Kanz 123 Design, build, and optimize Hadoop-based data processing pipelines to ensure reliable, scalable, high-performance batch analytics. Key Performance Indicators - Improve job runtime and throughput - Design scalable HDFS data storage - Develop efficient MapReduce pipelines - Implement data reliability and monitoring - Reduce operational incidents and recovery time Required Qualifications - 5+ years building Hadoop data pipelines - Strong HDFS and MapReduce fundamentals - Hands-on experience with Hive or Pig - Experience with YARN and cluster operations - Familiarity with security (Kerberos) and permissions - Experience with Hadoop monitoring tools such as Ambari or Cloudera Manager - Strong Linux experience for troubleshooting and operational support