Confluent Kafka Integration Engineer/Consultant

5 - 7 years

0 Lacs

Posted:1 day ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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

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