Hadoop engineer
- Full-time
- Company: Kanz 123
- Compensation: SAR 0 - SAR 20000 - monthly
Company Description
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
Company Name: Kanz 123
Job Description
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
Qualifications
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
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