Hyderabad Jobs |
Banglore Jobs |
Chennai Jobs |
Delhi Jobs |
Ahmedabad Jobs |
Mumbai Jobs |
Pune Jobs |
Vijayawada Jobs |
Gurgaon Jobs |
Noida Jobs |
Hyderabad Jobs |
Banglore Jobs |
Chennai Jobs |
Delhi Jobs |
Ahmedabad Jobs |
Mumbai Jobs |
Pune Jobs |
Vijayawada Jobs |
Gurgaon Jobs |
Noida Jobs |
Oil & Gas Jobs |
Banking Jobs |
Construction Jobs |
Top Management Jobs |
IT - Software Jobs |
Medical Healthcare Jobs |
Purchase / Logistics Jobs |
Sales |
Ajax Jobs |
Designing Jobs |
ASP .NET Jobs |
Java Jobs |
MySQL Jobs |
Sap hr Jobs |
Software Testing Jobs |
Html Jobs |
Job Location | Hyderabad |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Management Consulting / Strategy |
Functional Area | General / Other Software |
EmploymentType | Full-time |
We are looking for an engineer with 3+ years of significant Kafka experience to join our team creating pipelines for new streaming applications.As a Kafka Engineer you will be responsible for the reliable , scalable deployment of multiple Kafka clusters.You will build and integrate with other systems for provisioning , monitoring , and alerting. Working closely with our support teams and development teams , you will help deliver this project with a high level of automation and reliability.We want to minimize manual processes and strong software engineering proficiency in this role is key.This is an exciting opportunity to work on with cutting - edge technology , which will have huge impact on our future technology architecture.Key Responsibilities:Building and maintaining a large - scale Kafka platform (including components from the wider Kafka ecosystem) to support a range of big data streaming applicationsDeveloping a suite of tools around the Kafka platform to give clients the ability to manage their data , e.g. by sourcing or sinking it from other on - premise databases and in the cloudWorking well in a multidisciplinary DevOps - focused team , building a close relationship with development and testing teams.Job FeaturesJob CategoryDeveloper,
Keyskills :
bigdata datastreaming softwareengineering it edge devops manual testing software sourcing databases pipelines automation components monit deployment engineering provisioning kafka Cloudera ng