| Kafka Engineer at Remote, Remote, USA |
| Email: pradeep.sharma@scalable-systems.com |
|
https://jobs.nvoids.com/job_details.jsp?id=2315114&uid= From: Pradeep, Scalable Systems pradeep.sharma@scalable-systems.com Reply to: pradeep.sharma@scalable-systems.com Hi, Greetings of the day! I have an urgent requirement below, please go through JD and let me know if you are comfortable or have any profile. Kindly revert me back with your updated resume as well. Job Title: Kafka Engineer Location: Raleigh/Pheonix (REMOTE) Duration: Long Term Contract Roles & Responsibilities: Standalones identify and rectify the Kafka Messaging issues within justifying time. Work with the business and IT team to understand business problems, and to design implement, and deliver an appropriate solution using Agile methodology across the larger program. Work independently to implement solutions on multiple platform (DEV, QA, UAT, PROD). Provide technical direction, guidance, and reviews to other engineers working on the same project. Administer Distributed Kafka cluster in Dev,QA, UAT, PROD environments and troubleshoot performance issue Implement and debug subsystems/microservice and components. Follows automate-first/automate-everything philosophy. Hands on in programming languages Essential Skills: Key skills required for Kafka Developer: Deep understanding of Confluent Kafka: Thorough knowledge of Kafka concepts like producers, consumers, topics, partitions, brokers, and replication mechanisms. Programming language proficiency: Primarily Java or Scala, with potential for Python depending on the project. System design and architecture: Ability to design robust and scalable Kafka-based data pipelines, considering factors like data throughput, fault tolerance, and latency. Data management skills: Understanding of data serialization formats like JSON, Avro, and Protobuf, and how to manage data schema evolution. Kafka Streams API (optional): Knowledge of Kafka Streams for real-time data processing within the Kafka ecosystem. Monitoring and troubleshooting: Familiarity with tools to monitor Kafka cluster health, identify performance bottlenecks, and troubleshoot issues. Cloud integration : Experience deploying and managing Kafka on cloud platforms like AWS, Azure, or GCP. Distributed systems concepts: Understanding of concepts like distributed consensus, leader election, and fault tolerance. Security best practices: Knowledge of Kafka security features to implement authentication and authorization mechanisms. Communication and collaboration: Ability to work effectively with other developers, data engineers, and stakeholders to design and implement Kafka solutions. Thanks & Regards, Pradeep Sharma Email: pradeep.sharma@scalable-systems.com "Scalable Systems is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and do not discriminate based on race, color, religion, sex, national origin, age, disability, or any other legally protected status." Keywords: quality analyst information technology golang Kafka Engineer pradeep.sharma@scalable-systems.com https://jobs.nvoids.com/job_details.jsp?id=2315114&uid= |
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| 05:56 PM 04-Apr-25 |