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Tier-1 brand plus metro location and visible data role drive medium competition.
Specialized NoSQL and streaming skills make background fit moderately sensitive across industries.
Mandatory enterprise NoSQL/Kafka/Redis experience and specific technical skills create high shortlisting strictness.
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Design, build, and optimize high throughput, low latency data platforms focusing on data streaming, caching, and unstructured storage.
Implement and maintain Apache Kafka-based event streaming systems ensuring message delivery guarantees and optimal performance.
Architect and manage Redis caching layers and MongoDB large scale databases including sharded clusters and replicas to support complex application logic and data flows.
Experience with Apache Kafka, Redis (including clusters, sentinel deployments), and MongoDB (including sharded clusters and replica sets).
Bachelor’s degree in Business, Engineering, Management, or a related field.
Experience executing at least 2 major enterprise-scale database modernization projects.
Location requirement: Mumbai-based with 5 days work from office and 2 Saturdays working.
Strong engineering mindset with focus on code efficiency and troubleshooting data flow bottlenecks (consumer lag, cache stampedes, slow queries).
Experience collaborating closely with application developers and DevOps teams for system cutovers and integration.
Proven ability to design scalable, high-performance real-time data platforms and architect NoSQL data models avoiding common anti-patterns.