• Data Engineer

Industry IT
Location Karnataka Bangalore
Experience Range 4.5 - 8 Years
Qualification BE
Not active

Functional Software Development - Client Server
Job Description
About Us
“Quess IT Staffing is India’s largest IT staffing company with over 20 years of experience in staffing IT professionals in 300+ companies across levels and skillsets. Our 10,000+ associates deployed in 80+ cities and towns are proficient in over 500 technological skills. Our associates help enable cutting edge solutions some of the biggest names across industried. Quess IT Staffing is a division of Quess Corp Limited, India’s leading business services provider and largest domestic private sector employer. Quess Corp Limited is - ‘A Great Place to Work’ certified – a testament to our excellent culture, people, and processes.”
About Company
https://itstaffing.quesscorp.com/
Roles and Responsibility

The primary objective of the Kafka Administrator is to build and maintain the corporate messaging infrastructure ensuring message delivery, security, retention, and recoverability of the topics and messages.

The Kafka Admin will design, build, test, and deploy quality messaging and streaming solutions that are consistent with project objectives, technology architecture standards and departmental best practices.

The Kafka admin will design and implement event sourcing strategies, administer enterprise-wide messaging architecture, and provide daily management of Kafka eco-system.

Manage large scale multi-nodes Kafka cluster environments residing on-prem OpenShift platform.

Handle all Kafka environment builds, including design, capacity planning, cluster setup, performance tuning and ongoing monitoring.

Capacity planning and implementation of new/upgraded hardware and software releases as well as for storage infrastructure.

Perform high-level, day-to-day operational maintenance, support, and upgrades for the Kafka Cluster.

Creation of key performance metrics, measuring the utilization, performance and overall health of the cluster.

Research and recommend innovative, and where possible, automate key administration tasks.

Create topics, setup redundancy cluster, deploy monitoring tools, alerts.

Proactively monitor and setup alerting mechanism for Kafka Cluster and supporting hardware to ensure system health and maximum availability.

 

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