We are looking for a highly skilled Data Engineer with strong expertise in real-time streaming and event-driven architectures. The ideal candidate will be responsible for building scalable data pipelines, optimizing streaming systems, and ensuring high performance across distributed environments.

Key Responsibilities

• Design and implement real-time data streaming pipelines using technologies like Apache Flink, Kafka, and Java
• Build and maintain event-driven architectures for large-scale distributed systems
• Perform JVM tuning and performance optimization for streaming applications
• Develop and deploy applications using containerization tools (Docker, Kubernetes)
• Work with Cloudera platform for data engineering and pipeline orchestration
• Implement robust design patterns and ensure high-quality coding standards
• Troubleshoot and resolve issues in distributed systems ecosystem
• Collaborate with DevOps teams to maintain CI/CD pipelines (GitHub, Jenkins)
• Work on Linux-based systems, including configuration and shell scripting
• Optimize data processing with caching mechanisms (e.g., Redis – nice to have)

Required Skills & Experience

• Strong hands-on experience in Real-Time Streaming (Flink / Kafka / Java)
• Deep understanding of event-driven architecture
• Experience with JVM performance tuning
• Proficiency in Docker and Kubernetes
• Solid experience in Linux OS and shell scripting
• Knowledge of design patterns and scalable system design
• Experience with CI/CD tools like GitHub and Jenkins
• Hands-on troubleshooting experience in distributed systems

Nice to Have

• Experience with Redis or other caching systems
• Exposure to Cloudera Data Platform engineering
• Prior experience in banking or financial domain is a plus