Job Title:  Data & NoSQL Engineer | Consultant | Tech Strategy and Architecture | Mumbai

Data & NoSQL Engineer | Consultant | Tech Strategy and Architecture 

Location: Mumbai

Work Profile

• Design, develop, and maintain high-throughput, low-latency real-time data platforms using Apache Kafka, Redis, and MongoDB.

• Build and manage Kafka topics, partitions, consumer groups, and messaging workflows while ensuring reliable message delivery and schema evolution.

• Design and implement advanced Redis caching strategies, in-memory data structures, clustering, Sentinel deployments, Pub/Sub messaging, and persistence configurations.

• Architect and optimize MongoDB databases, including document schema design, sharded clusters, replica sets, indexing, and aggregation pipelines.

• Monitor and optimize end-to-end data flows across Kafka, Redis, and MongoDB to ensure high availability and performance.

• Troubleshoot system bottlenecks such as consumer lag, cache stampedes, slow database queries, and memory fragmentation.

• Implement modern data engineering practices to improve scalability, resilience, and operational efficiency.

• Collaborate with application developers, DevOps engineers, and infrastructure teams to support seamless deployments and platform modernization.

Key Skills Required

• 4+ years of experience in database administration, data engineering, or NoSQL platform management.

• Strong hands-on expertise in Apache Kafka, Redis, and MongoDB.

• Experience with Kafka architecture, topic management, partitioning, consumer groups, broker tuning, and Confluent Schema Registry.

• Proficiency in Redis caching strategies, data structures, clustering, Sentinel, Pub/Sub, and persistence mechanisms.

• Expertise in MongoDB document modeling, sharding, replica sets, indexing, query optimization, and Aggregation Framework.

• Strong knowledge of distributed systems, real-time data streaming, and high-performance data platforms.

• Proven experience delivering enterprise-scale database modernization or real-time data platform transformation projects.

• Excellent analytical, troubleshooting, and performance tuning skills.

• Strong collaboration, communication, and stakeholder management abilities with cross-functional teams including Application Development and DevOps.