Kafka Engineer
Fractal Analytics · Bengaluru
- Experience0–4 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted29 Sept 2026
About Fractal Analytics
Fractal Analytics is hiring in Bengaluru in technology software. This role looks for around 0+ years of experience.
Skills
- Apache Kafka
- Confluent Platform
- Kafka Connect
- Kafka Streams
- Schema Registry
- KSQL
- FlinkSQL
- Java
- Python
- stream processing
- event-driven architecture
- AWS
- Azure
- Google Cloud Platform
- Confluent Cloud
- Git
- Helm
- Kubernetes
- CI/CD
The role
A Kafka engineer at a technology software company designs and operates real-time data streaming pipelines using Apache Kafka and Confluent Platform, with expertise in stream processing and event-driven architecture. The role also applies Kubernetes and CI/CD.
Full job description
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
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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