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Job Summary
We are looking for a skilled Kafka Engineer with hands-on experience in Confluent Platform to design, build, and maintain high-performance, real-time data streaming pipelines. The ideal candidate will have expertise in Kafka ecosystem components and be well-versed in deploying and scaling Kafka clusters, both on-prem and in cloud environments.
Key Responsibilities
- Design, build, and manage Kafka and Confluent infrastructure for high throughput streaming applications
- Implement Kafka Connect, Schema Registry, and KSQL (KSQLDB), FlinkSQL
- Ensure high availability, performance tuning, and monitoring of Kafka clusters
- Collaborate with data engineers and backend teams to integrate streaming pipelines with data lakes, warehouses.
- Set up and enforce Kafka security mechanisms (SASL, SSL, ACLs, RBAC)
- Create and manage CI/CD pipelines for Kafka components using tools like Git, Jenkins, etc.
- Monitor and troubleshoot issues using tools like Confluent Control Center, DataDog
Required Skills
- Experience in Apache Kafka and Confluent Platform
- Experience with Kafka Connect, Kafka Streams, Schema Registry, KSQL, and FlinkSQL
- Strong background in Java or Python
- Good understanding of stream processing and event-driven architecture
- Hands-on experience with cloud platforms: AWS / Azure / GCP (esp. Confluent Cloud)
- Proficient in Kafka cluster deployment, tuning, and maintenance
- Familiarity with CI/CD, Git, Helm, and Kubernetes
Nice to Have
- Knowledge of Terraform, Pulumi, or other Infra as Code tools
- Exposure to DataOps / Data Engineering ecosystems
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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