
Hiring For Confluent KAFK Engineer
6 days ago
Role & responsibilities
Build producers, consumers, and stream-processing applications.
Develop Kafka Connect pipelines to integrate with external data systems (databases, cloud
storage, APIs).
Implement schema evolution strategies with Confluent Schema Registry (Avro, Protobuf,
JSON).
Operations & Monitoring
Manage topic creation, partitions, replication, retention policies.
Monitor cluster health, throughput, and latency using tools like Confluent Control Center,
Prometheus, Grafana, etc.
Troubleshoot performance bottlenecks, consumer lag, and broker issues.
Security & Governance
Implement authentication and authorization (SASL, Kerberos, SSL, RBAC).
Enforce data governance, compliance, and auditing policies.
Collaboration
Work with data engineers, application developers, and platform teams to deliver end-to-end
streaming solutions.
Provide Kafka expertise for system design reviews and architecture discussions.
Required Skills & Qualifications
Strong experience in Apache Kafka and Confluent Platform (35+ years preferred).
Expertise in Kafka Connect, KSQL, Kafka Streams, and Schema Registry.
Proficiency in Java, Scala, or Python for developing Kafka producers/consumers.
Hands-on experience with cloud deployments (AWS MSK, Confluent Cloud, GCP
Pub/Submigration).
Familiarity with CI/CD pipelines, Kubernetes, Docker for Kafka containerized deployments.
Solid understanding of distributed systems, messaging, and event-driven architecture.
Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK, Splunk).
Strong problem-solving and troubleshooting skills.
Nice to Have
Confluent Certified Developer/Admin.
Experience with Big Data ecosystems (Spark, Flink, Hadoop).
Exposure to data governance & observability frameworks.
Knowledge of financial services, telecom, or retail real-time data use cases
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