Location: Bengaluru
Experience: 5+ Years
Role Overview:
We are looking for experienced Data Engineer to design, implement, and manage high-performance real-time streaming solutions using Apache Kafka, Apache Flink, and Java. The role focuses on building scalable event-driven architectures, managing cloud-native infrastructure, and ensuring secure, fault-tolerant streaming platforms that support enterprise-scale digital banking applications.
Key Responsibilities:
Real-Time Data Engineering
- Design, develop, and manage Kafka-based real-time streaming applications for high-throughput, low-latency environments.
- Build scalable streaming data pipelines using Kafka Connect, ksqlDB, and Schema Registry.
- Develop distributed streaming applications using Apache Flink and Java.
- Optimize streaming architecture for performance, reliability, and scalability.
Platform & Infrastructure
- Configure, administer, and optimize Kafka clusters for high availability and disaster recovery.
- Automate infrastructure provisioning using Infrastructure-as-Code (Terraform).
- Implement GitOps practices for deployment and configuration management.
- Ensure robust platform security using SSL/mTLS, SASL, and ACLs.
Collaboration & Delivery
- Work closely with Data Engineering, DevOps, Cloud, and Product teams.
- Troubleshoot production issues and optimize streaming performance.
- Maintain documentation and promote engineering best practices.
- Participate in Agile delivery, sprint planning, and continuous improvement initiatives.
Required Skills:
- Apache Kafka
- Apache Flink
- Java
- Kafka Connect
- ksqlDB
- Schema Registry
- Terraform
- GitOps
- SSL/mTLS, SASL & ACLs
- Distributed Streaming Architecture
Preferred Skills:
- Kubernetes
- Docker
- CI/CD Pipelines
- AWS / Azure
- Banking or Financial Services Experience
📩 Apply Now: [email protected]
