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# Spark, HDFS & Kafka Administrator/Engineer - NJ onsite

- **Company:** Yoh Services LLC
- **Location:** Jersey City, NJ, United States
- **Experience:** Experienced
- **Salary:** $101,920 - $145,600
- **Contract:** Permanent contract
- **Skills:** Bash Shell, Big Data, Configuration Management, Linux, Perl (Programming Language), Apache Hadoop, Hadoop Distributed File System, Identity and Access Management, Python (Programming Language), Kerberos (Protocol), Lightweight Directory Access Protocols (LDAP), Performance Tuning, Cloudera, Systems Integration, Grafana, Apache Spark, Apache Kafka, Splunk
- **Published:** November 10, 2026
- **Apply:** https://www.dice.com/job-detail/d5f41595-506e-44a7-8dde-6d900d215568

## About the Role

* Great Communication, able to explain everything in detail
 * Linux Admin - log in and perform commands
 * Hands-on 3-5 years min experience Cloudera Cluster, HDFS, Spark, Kafka
We are seeking an experienced Spark, HDFS, and Kafka Administrator/Engineer to manage, support, and optimize enterprise-grade big data platforms. Deep hands-on expertise with Apache Spark, HDFS, and Kafka is required and will be the primary focus of this role. Experience administering these technologies within a Cloudera environment is preferred but secondary to strong expertise in the underlying technologies., * Excellent problem-solving, analytical, and communication skills.

 * Hybrid onsite 4 days a week.
 * Minimum 3 years of hands-on production experience administering and supporting Apache Spark, HDFS, and Kafka.
 * Strong, demonstrable expertise in Spark

## Description

* Spark Administration: Deploy, configure, monitor, tune, and troubleshoot Apache Spark environments and workloads. Support Spark job performance, resource management, capacity planning, and production operations.
 * HDFS Administration: Manage and support HDFS storage, including capacity, performance, availability, permissions, replication, and troubleshooting. Strong understanding of HDFS architecture and integration with distributed compute platforms is required.
 * Kafka Administration: Deploy, configure, manage, monitor, and troubleshoot Apache Kafka clusters, topics, producers, and consumers. Support performance, capacity, availability, security, and production operations.
 * Monitoring and Performance Tuning: Monitor platform connectivity, health, capacity, and performance using tools such as Grafana, Splunk, and relevant platform management tools. Proactively identify and resolve performance bottlenecks across Spark, HDFS, and Kafka.
 * Security and Compliance: Implement and manage security configurations, including Kerberos, SSL/TLS, authorization policies, HDFS ACLs, and enterprise IAM/LDAP integrations.
 * Automation and Scripting: Develop and maintain automation using Python, Bash, or Perl for routine administration, configuration management, monitoring, and operational support.
 * Troubleshooting and Support: Provide expert-level troubleshooting and technical support for Spark, HDFS, Kafka, and related big data technologies, including participation in an on-call rotation.
 * Platform Administration: Support installations, patching, upgrades, migrations, and platform lifecycle activities while minimizing downtime. Cloudera Hadoop/CDP administration will be part of the role but is secondary to expertise in Spark, HDFS, and Kafka.