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Kafka Developer

Job Description - Kafka Developer

Description

Role: Kafka developer.

We are seeking a skilled and detail-oriented Kafka Developer to design, build, and maintain our real-time data streaming and event-driven architecture. In this role, you will work closely with software engineering, data science, and DevOps teams to ensure reliable, high-throughput, and low-latency data pipelines using Apache Kafka.  
Key Responsibilities
Design & Development: Design, develop, and deploy robust Kafka producers, consumers, and data streaming applications.  
Pipeline Management: Build and maintain scalable real-time data pipelines using Kafka Connect, Kafka Streams, or ksqlDB.  
Cluster Optimization: Configure, monitor, and tune Kafka clusters for optimal performance, high availability, and scalability.  
Integration: Integrate Kafka with various enterprise systems, microservices, databases (SQL/NoSQL), and cloud storage platforms.  
Security & Governance: Implement enterprise security protocols (SSL, SASL, ACLs) and manage data schemas using Schema Registry.  
Troubleshooting: Monitor system health, diagnose messaging bottlenecks, and resolve complex production issues in distributed environments.  
Collaboration: Partner with cross-functional teams to champion event-driven architecture patterns and best practices.

 

 

Candidate should have Java spring and Kafka experience.



Responsibilities

Role: Kafka developer.

 

 

We are seeking a skilled and detail-oriented Kafka Developer to design, build, and maintain our real-time data streaming and event-driven architecture. In this role, you will work closely with software engineering, data science, and DevOps teams to ensure reliable, high-throughput, and low-latency data pipelines using Apache Kafka.  
Key Responsibilities
Design & Development: Design, develop, and deploy robust Kafka producers, consumers, and data streaming applications.  
Pipeline Management: Build and maintain scalable real-time data pipelines using Kafka Connect, Kafka Streams, or ksqlDB.  
Cluster Optimization: Configure, monitor, and tune Kafka clusters for optimal performance, high availability, and scalability.  
Integration: Integrate Kafka with various enterprise systems, microservices, databases (SQL/NoSQL), and cloud storage platforms.  
Security & Governance: Implement enterprise security protocols (SSL, SASL, ACLs) and manage data schemas using Schema Registry.  
Troubleshooting: Monitor system health, diagnose messaging bottlenecks, and resolve complex production issues in distributed environments.  
Collaboration: Partner with cross-functional teams to champion event-driven architecture patterns and best practices.

 

 

Candidate should have Java spring and Kafka experience.



Qualifications

Role: Kafka developer.

 

We are seeking a skilled and detail-oriented Kafka Developer to design, build, and maintain our real-time data streaming and event-driven architecture. In this role, you will work closely with software engineering, data science, and DevOps teams to ensure reliable, high-throughput, and low-latency data pipelines using Apache Kafka.  
Key Responsibilities
Design & Development: Design, develop, and deploy robust Kafka producers, consumers, and data streaming applications.  
Pipeline Management: Build and maintain scalable real-time data pipelines using Kafka Connect, Kafka Streams, or ksqlDB.  
Cluster Optimization: Configure, monitor, and tune Kafka clusters for optimal performance, high availability, and scalability.  
Integration: Integrate Kafka with various enterprise systems, microservices, databases (SQL/NoSQL), and cloud storage platforms.  
Security & Governance: Implement enterprise security protocols (SSL, SASL, ACLs) and manage data schemas using Schema Registry.  
Troubleshooting: Monitor system health, diagnose messaging bottlenecks, and resolve complex production issues in distributed environments.  
Collaboration: Partner with cross-functional teams to champion event-driven architecture patterns and best practices.

 

 

Candidate should have Java spring and Kafka experience.



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