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Specialized NoSQL/Cosmos DB skillset but Bengaluru mid-senior role increases applicant pool.
NoSQL database and cloud data engineering skills transfer across industries but require specific CosmosDB/MongoDB expertise.
Explicit 5–8 years plus mandatory Cosmos DB/MongoDB production experience and detailed technical requirements.
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Design and implement distributed data models and architectures for large-scale, high-throughput applications using Azure Cosmos DB and MongoDB.
Optimize database performance focusing on query analysis, indexing, RU/cost optimization, and scalability in multi-tenant SaaS systems.
Develop automation scripts for deployment, monitoring, scaling, and collaborate with development and DevOps teams on integration, code reviews, and system design.
5–8 years of experience in database engineering, architecture, or backend data systems.
3+ years of hands-on production experience managing Azure Cosmos DB and MongoDB.
Bachelor's degree in Engineering, Computer Science or equivalent.
Strong foundation in distributed systems, NoSQL principles, and data architecture.
Experienced technical contributor with deep expertise in Cosmos DB partitioning, RU/s provisioning, indexing, consistency models, TTL, and multi-region replication.
Proficient in MongoDB replica sets, sharding, indexing, aggregation pipelines, and performance tuning for distributed document databases.
Capable of building automation scripts and working closely with DevOps to integrate databases into cloud-native, multi-tenant SaaS environments.