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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
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Design, build, and manage Kafka and Confluent infrastructure for high throughput streaming applications
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Implement Kafka Connect, Schema Registry, and KSQL (KSQLDB), FlinkSQL
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Ensure high availability, performance tuning, and monitoring of Kafka clusters
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Collaborate with data engineers and backend teams to integrate streaming pipelines with data lakes, warehouses.
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Set up and enforce Kafka security mechanisms (SASL, SSL, ACLs, RBAC)
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Create and manage CI/CD pipelines for Kafka components using tools like Git, Jenkins, etc.
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Monitor and troubleshoot issues using tools like Confluent Control Center, DataDog
Required Skills
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Experience in Apache Kafka and Confluent Platform
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Experience with Kafka Connect, Kafka Streams, Schema Registry, KSQL, and FlinkSQL
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Strong background in Java or Python
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Good understanding of stream processing and event-driven architecture
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Hands-on experience with cloud platforms: AWS / Azure / GCP (esp. Confluent Cloud)
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Proficient in Kafka cluster deployment, tuning, and maintenance
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Familiarity with CI/CD, Git, Helm, and Kubernetes
Nice to Have
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Knowledge of Terraform, Pulumi, or other Infra as Code tools
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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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