Administer and optimize enterprise big-data platforms with Cloudera, Spark, Kafka, Hive, and Python. Manage and tune Spark jobs, Kafka brokers/topics, and Hive metastore/LLAP/ACID tables. Provide platform tooling via Hue for users and automate admin tasks with Python and shell.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Location: Muscat, Oman
Working Days: Sunday to Thursday
Experience: 6+ Years
Notice Period: Immediate joiners preferred (up to 30 days acceptable)
Summary
Administer and optimize enterprise big-data platforms with Cloudera, Spark, Kafka, Hive, Python, Hue, Cloud, API, and Rangers.
Responsibilities
- Install, configure, upgrade, and operate Cloudera clusters; capacity planning, high availability, and backups.
- Manage and tune Spark jobs, Kafka brokers/topics, and Hive metastore/LLAP/ACID tables.
- Enable secure access and governance using Rangers (Apache Ranger) policies, audits, and tags.
- Provide platform tooling via Hue for users; automate admin tasks with Python and shell.
- Integrate platform services with external systems via API; connect on-prem and Cloud resources.
- Monitor health and performance; troubleshoot YARN/ResourceManager, HDFS, Zookeeper, and networking issues.
Required Skills
- 6+ years in big-data engineering/administration, with hands-on Cloudera distribution management.
- Expert knowledge of Spark, Kafka, Hive, Hue, Rangers, and Python automation.
- Experience integrating with API endpoints and managing hybrid/on-prem to Cloud connectivity.
- Strong security (Kerberos, TLS), resource tuning, and benchmarking across data-intensive workloads.
Relocation & Benefits
We ensure a smooth transition and complete employee support:
- Work visa sponsorship with fast-track processing
- Comprehensive medical insurance coverage
- First flight ticket to Muscat
- Accommodation support for the first week
Why Join Us
- Competitive compensation aligned with experience
- Supportive, collaborative, and innovation-driven work environment
Interested candidates can apply directly through this post or share their resumes at: [email protected]
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