Spark, HDFS & Kafka Administrator/Engineer - NJ onsite
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Role details
Tech stack
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Job 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.
Requirements
- Great Communication, able to explain everything in detail
- Linux Admin - log in and perform commands
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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
Benefits & conditions
Estimated Min Rate: $49.00 Estimated Max Rate: $70.00
What s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh s extensive talent community that will provide you with access to Yoh s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:
- Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
- Health Savings Account (HSA) (for employees working 20+ hours per week)
- Life & Disability Insurance (for employees working 20+ hours per week)
- MetLife Voluntary Benefits
- Employee Assistance Program (EAP)
- 401K Retirement Savings Plan
- Direct Deposit & weekly epayroll
- Referral Bonus Programs
- Certification and training opportunities
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