Data Engineer - Real Time Streaming

GSSTech Group; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

GSSTech Group in Bengaluru is seeking a Data Engineer to design and build scalable real-time data pipelines and optimize streaming systems across distributed environments.

You will work with Flink, Kafka and Java to implement event-driven architectures, perform JVM tuning, and ensure high performance in production.

The role also involves containerization with Docker and Kubernetes, Linux scripting, and collaborating with DevOps on CI/CD pipelines.

Qualifications

• 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.

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 (Redis)

Skills

Real-Time Streaming (Flink / Kafka / J

Event-driven architecture

JVM performance tuning

Docker and Kubernetes

Linux OS and shell scripting

Design patterns

CI/CD (GitHub / Jenkins)

Distributed systems troubleshooting

Tools

Docker

Kubernetes

GitHub

Jenkins

Redis

Job description

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