Kafka Integration Engineer/Consultant

2 days ago


Bengaluru, Karnataka, India Infosys Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Confluent Kafka Integration Engineer/Consultant


• 5+ years experience with Confluent Kafka and Apache Kafka
• Programming: Strong proficiency in Java, Python, or Scala
• Kafka Ecosystem: Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center
• Confluent Platform: Stream Governance, Data Lineage, Stream Catalog, Audit Logs, Role-Based Access Control (RBAC)
• Confluent Cloud: Fully managed Kafka service, ksqlDB Cloud, Apache Flink on Confluent Cloud
• Stream Processing: Apache Flink, ksqlDB, real-time analytics and complex event processing
• Architecture: Event-driven architecture and data streaming patterns
• DevOps: Docker, Kubernetes, CI/CD pipelines
• Cloud: AWS, GCP, or Azure with Kafka deployment experience
• Soft Skills: Excellent problem-solving and communication abilities
• Design and implement real-time streaming solutions using Kafka, Confluent Platform, and Confluent Cloud
• Develop stream processing applications using Apache Flink, ksqlDB, and Kafka Streams
• Build data governance frameworks using Confluent's Stream Governance suite
• Implement data lineage tracking and stream catalog management
• Deploy and manage KRaft-based clusters (ZooKeeper-free Kafka architecture)
• Configure client-side field-level encryption for sensitive data protection
• Integrate Kafka with enterprise systems (databases, APIs, microservices)
• Manage Kafka clusters, topics, schemas, and connectors
• Optimize performance, scalability, and reliability of Kafka solutions
• Configure and manage KRaft controllers and metadata management
• Implement disaster recovery and cross-region replication strategies
• Set up monitoring using next-generation Confluent Control Center with Prometheus/OpenTelemetry
• Deploy and manage Confluent for Kubernetes (CFK) and Ansible automation
• Monitor and troubleshoot Kafka pipelines and infrastructure
• Ensure data governance, security, and compliance in streaming workflows
• Collaborate with data engineers, architects, and DevOps teams
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