Confluent Kafka Integration Engineer/Consultant

5 - 10 years

6 - 10 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Educational Requirements

BTech,BCA,BE,BSc,MBA,MTech,MCA,MSc

Service Line

Enterprise Package Application Services

Responsibilities

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

Technical and Professional Requirements:

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

Preferred Skills:

Technology->Java->Apache->Kafka

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