Hadoop Administrator – L2/L3 Production Support

Hadoop Administrator – L2/L3 Production Support
Location: Austin, TX
Work Arrangement: Hybrid
Job Type: Contract
Openings: 1

Job Description

We are looking for an experienced Hadoop Administrator to provide Level 2 and Level 3 managed services support for production and non-production Big Data and Analytics clusters.

The ideal candidate should have strong hands-on experience in Hadoop ecosystem administration, cluster monitoring, troubleshooting, performance tuning, security management, patching and upgrades.

The role involves supporting enterprise Hadoop platforms, managing user and application requests, resolving production incidents, and maintaining platform stability and availability.

Key Responsibilities

• Provide L2/L3 administration and production support for Hadoop and analytics clusters.

• Monitor, maintain and troubleshoot Hadoop clusters and associated services.

• Support HDFS, YARN, Spark, Hive and Kafka environments.

• Perform cluster patching, upgrades, bug fixes and security vulnerability remediation.

• Manage cluster capacity, resource allocation, performance tuning and routine maintenance.

• Configure and manage Hadoop security using Apache Ranger and Kerberos.

• Administer Hadoop clusters using Ambari and related management tools.

• Support application and user onboarding, access provisioning and platform requests.

• Troubleshoot cluster, application, hardware and network-related issues.

• Coordinate cluster expansion, node management and infrastructure escalations.

• Administer Apache Druid and Apache Superset, including troubleshooting and security fixes.

• Manage incidents, service requests and change approvals through ticketing systems.

• Coordinate with development teams and escalate L4 issues through Jira.

• Provide weekday support coverage and participate in weekend on-call support for critical P1/P2 incidents.

Required Technical Skills

• Strong hands-on Hadoop Administration experience.

• HDFS and YARN administration and troubleshooting.

• Apache Spark, Hive and Kafka.

• Apache Ambari.

• Apache Ranger and Kerberos.

• Hadoop cluster monitoring, maintenance and performance tuning.

• Production support and incident troubleshooting.

• Cluster patching, upgrades and security remediation.

Additional / Preferred Skills

• Apache Druid administration.

• Apache Superset administration.

• Experience with production and non-production analytics clusters.

• Jira and ITSM / ServiceNow ticket management.

• Experience in managed services or enterprise production support environments.

Support Requirements

• 18x5 weekday support coverage.

• Weekend on-call support for P1/P2 incidents.

• Experience working in SLA-driven production support environments.