We are looking for Data Engineer with expertise in Apache Flink to build high-performance, event-driven streaming solutions for enterprise banking systems. The role involves designing scalable data pipelines, stream processing frameworks, and distributed data platforms that support secure, resilient, and real-time data processing.
Key Responsibilities:
Data Engineering
- Design and develop event-driven streaming pipelines using Apache Flink and Kafka.
- Build scalable data processing applications using Java or Scala.
- Implement distributed data solutions across SQL and NoSQL platforms.
- Optimize JVM performance and distributed processing workloads.
Platform Engineering
- Deploy applications using Docker and Kubernetes.
- Implement CI/CD pipelines and monitoring for streaming applications.
- Integrate security controls into ETL processes and data pipelines.
- Support resilient and highly available distributed services.
Collaboration
- Work closely with Data Engineering, DevOps, and Product teams.
- Promote engineering best practices and Agile delivery.
- Contribute to technical documentation and knowledge sharing.