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Kafka Developer
Tata Consultancy Services
Hyderabad, IND
Full-time
Senior · 6+ years experience
Onsite
Discovered 3 weeks ago
KafkaSchema RegistryAvroProtobufJSONACLs
Free
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KafkaSchema RegistryAvro
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KafkaSchema RegistryAvroProtobufJSONACLs
Full Job Posting
Design, develop, and maintain Kafka producers, consumers, and streams for real‑time data processing Build and support event‑driven and microservices architectures Develop Kafka integrations with applications, databases, and external systems Configure and manage Kafka topics, partitions, replication, and consumer groups Ensure high availability, fault tolerance, and performance tuning of Kafka clusters Implement schema management using Schema Registry (Avro/Protobuf/JSON) Monitor, troubleshoot, and resolve Kafka‑related issues in production environments Collaborate with DevOps teams on Kafka deployment, upgrades, and scaling Implement security best practices (ACLs, SSL, SASL, RBAC)
Design, develop, and maintain Kafka producers, consumers, and streams for real‑time data processing Build and support event‑driven and microservices architectures Develop Kafka integrations with applications, databases, and external systems Configure and manage Kafka topics, partitions, replication, and consumer groups Ensure high availability, fault tolerance, and performance tuning of Kafka clusters Implement schema management using Schema Registry (Avro/Protobuf/JSON) Monitor, troubleshoot, and resolve Kafka‑related issues in production environments Collaborate with DevOps teams on Kafka deployment, upgrades, and scaling Implement security best practices (ACLs, SSL, SASL, RBAC)
- Design, develop, and maintain Kafka producers, consumers, and streams for real‑time data processing
- Build and support event‑driven and microservices architectures
- Develop Kafka integrations with applications, databases, and external systems
- Configure and manage Kafka topics, partitions, replication, and consumer groups
- Ensure high availability, fault tolerance, and performance tuning of Kafka clusters
- Implement schema management using Schema Registry (Avro/Protobuf/JSON)
- Monitor, troubleshoot, and resolve Kafka‑related issues in production environments
- Collaborate with DevOps teams on Kafka deployment, upgrades, and scaling
- Implement security best practices (ACLs, SSL, SASL, RBAC)
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