Senior Kafka Administrator

Hybrid in Phoenix, AZ, US • Posted 1 day ago • Updated 1 day ago
Contract W2
Contract Corp To Corp
Contract Independent
No Travel Required
Hybrid
Depends on Experience
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Job Details

Skills

  • Apache Kafka
  • Apache ZooKeeper
  • Kafka clusters
  • Linux
  • KRaft
  • Schema Registry

Summary

Senior Kafka Administrator

Phoenix, AZ – Hybrid – 2 or 3 days a week onsite 

Long-Term Contract

We are looking for a Senior Kafka Administrator to administer and support enterprise Apache Kafka clusters, including installation, configuration, upgrades, capacity planning, and performance tuning in Linux environments. The role involves managing topics, partitions, replication, and retention policies, as well as troubleshooting broker, producer/consumer, latency, and lag related issues. The candidate will work with Kafka ecosystem tools such as Zookeeper/KRaft, Schema Registry, and Kafka Connect, and collaborate with DevOps and application teams for deployments and integrations. Responsibilities also include implementing monitoring, automation, and security (SSL/SASL, ACLs), maintaining documentation, and providing production support and on-call coverage.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90982944
  • Position Id: 8965410
  • Posted 1 day ago

Company Info

About VHL Technologies

OUR CORE EXPERTISE




We have a large pool of expert resources that specialize in all aspects of the Big Data Technology stack including Spark SQL, spark streaming, Hive, Pig, Storm, Hbase and MongoDB, Cassandra, Redis and other NoSql technologies. We take pride in partnering with companies to help them harness the power of big data, enabling advanced analytics, AI, BI and deep learning. We are obsessed with all things data and our vision is to enable companies explore and monetize massive amounts of unexplored data assets at the speed of thought.
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