Kafka Developer – Java
2 days ago
We are seeking a skilled
Kafka Developer with strong Java expertise
to design, develop, and optimize event-driven applications and data streaming solutions. The ideal candidate will have hands-on experience with
Apache Kafka
,
Java (8/11/17)
, and modern frameworks such as
Spring Boot
, while also understanding distributed systems, real-time data pipelines, and microservices architectures.
Location: Bangalore and Gurugram
NP- Immediate to 30 days
Job Description:
Responsibilities
- Design, develop, and maintain
Kafka producers, consumers, and stream processing applications
using Java. - Implement and optimize
Kafka-based real-time data pipelines
for high throughput and low latency. - Collaborate with cross-functional teams to integrate Kafka solutions into
microservices
and enterprise platforms. - Ensure
scalability, reliability, and security
of Kafka clusters and event-driven applications. - Develop
Kafka Connectors
for integration with databases, cloud storage, and external systems. - Implement
schema management
(e.g., Avro, JSON, Protobuf) with
Confluent Schema Registry
. - Monitor, troubleshoot, and optimize Kafka clusters and Java-based streaming applications.
- Write
unit tests, integration tests
, and ensure best practices in
CI/CD pipelines
. - Provide technical guidance and mentorship to junior developers on Kafka and Java.
- Document architecture, design decisions, and operational guidelines.
Required Skills & Qualifications
- Bachelor's/Master's degree
in Computer Science, Engineering, or related field. - 5–8 years
of hands-on experience in Java (Core Java, Java 8+ features, Streams, Multithreading). - Strong expertise in
Apache Kafka
(brokers, topics, partitions, producers, consumers, streams, and connectors). - Experience with
Spring Boot, REST APIs, and microservices
development. - Familiarity with
Confluent Kafka ecosystem
(Kafka Streams, ksqlDB, Schema Registry, Connect). - Proficiency in
message serialization formats
(Avro, JSON, Protobuf). - Experience in
CI/CD pipelines
(Jenkins, GitLab, or similar). - Hands-on with
containerization and orchestration
(Docker, Kubernetes). - Good understanding of
distributed systems, fault tolerance, and data consistency
. - Strong debugging and problem-solving skills.
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