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.
Requirements
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
