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Kafka Engineer

Larsen & Toubro Infotech Limited

Location: Tampa, FL 33601
Type: Full-Time, Non-Remote
Posted on: April 27, 2022
This job is no longer available from the source.
Kafka, Apache Kafka, Confluent Kafka, Data Integrations, Unix scripting
Full Time
Depends on Experience
A little about us...
L&T Infotech is one of the largest global technology consulting and digital solutions company -holding an annual revenue of $1.4 bn. We were founded 22 years ago as the information technology arm of the Larsen & Toubro group. We are currently partnered with more than 350 clients (66 of which are Fortune 500 companies). We operate in 28 countries - employing over 30,000 employees world-wide!
We lead in providing the best experiences for our clients and their customers.
We provide our employees with a learning environment that promotes growth and creativity.
To learn more please visit us at www.lntinfotech.com follow us on Twitter @LTI_Global
Kafka Engineer
Location : Tampa, FL
Client is seeking a Kafka Engineer who will provide subject matter expertise in the deployment of apache or Confluent Enterprise Kafka within organization Responsibilities:
• Physical deployment of infrastructure across multiple environments
• Optimization and tuning
• Standards and patterns development
• User guide development and training overviews for supporting teams
• Provide troubleshooting and best practices methodology for development teams
• Process automation and new application on-boarding
• Design monitoring solutions and baseline statistics reporting to support the implementation
• Level 3 support for development teams that are utilizing the platform
• Planning and execution of infrastructure projects as well as on-boarding of new application development projects
• 5+ years of experience with Apache Kafka or Confluent Kafka
• 5+ years of experience with Data Integrations
Required skills : Apache or Confluent Kafka + Unix scripting
We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law.