We are looking for a highly skilled Data Engineer with strong expertise in real-time streaming and event-driven architectures.

Requirements

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)

We are looking for a highly skilled Data Engineer with strong expertise in real-time streaming and event-driven architectures.

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)

Data Engineer - Real Time Streaming