The ideal candidate will be responsible for designing, deploying, maintaining, and scaling Kafka clusters in mission-critical environments, while also supporting the Linux-based infrastructure that forms the foundation of our real-time data platform.
Responsibilities
Manage and maintain Redis instances, ensuring high availability and optimal performance.
Should possess well-versed experience in Redis administration and management for ex: strong understanding of data structures, caching mechanisms, and performance tuning in Redis.
Monitor system health, troubleshoot issues, and implement backup and recovery strategies for Redis clusters.
Configure Redis caching, session management, and data storage.
Develop and maintain Python scripts for data manipulation, integration, and automation related to Redis.
Create efficient data processing pipelines to ingest and process data from various sources.
Python scripting for database interactions and automation tasks. Optimize Python scripts for performance, scalability, and maintainability.
Work closely with development teams to design and implement Redis-based solutions that meet business requirements.
Provide technical support and training to team members on Redis functionalities and Python scripting best practices.
Document Redis configurations, Python scripts, and integration workflows for knowledge sharing and compliance.
Generate performance reports and dashboards to monitor Redis usage and efficiency
Qualifications
BE/B Tech/MCA
Excellent written and verbal communication skills
Preferred Qualifications/ Skills
Experience with Redis clustering, caching strategies, and distributed systems
Familiarity with monitoring tools like Prometheus and ELK Stack and cloud solutions like AWS ElastiCache
Preferred experience running Redis on Kubernetes and familiarity with Redis modules like RedisJSON
Working experience with OpenShift Kubernetes Cloud services to deploy Redis cluster using vendor provided docker/helm charts
Redis cluster monitoring & alerting
Optimizing Redis cluster performance using Jvm tuning & profiling.
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