NoSQL Consultant
Core
Design, manage, and optimize distributed document-based databases (Azure Cosmos DB and MongoDB) for large-scale, high-throughput bio/pharmaceutical Laboratory Information Management Systems (LIMS) and SaaS applications.
Role type
Senior Database Engineer (NoSQL)
Builds
Next-generation LIMS applications and automated data pipelines for global bio/pharmaceutical testing
Domain
Bio/pharmaceutical testing, Cloud-native distributed systems
Deliverable
production ML models | product features | infrastructure
Required skills
Azure Cosmos DB (Core SQL/Mongo API), MongoDB (sharding, replica sets), distributed system architecture, query profiling, performance tuning, automation scripting (Python/PowerShell/Bash), IaC (Terraform/Bicep/ARM)
Preferred skills
Data migration strategies, event-driven architecture, data security/compliance (GDPR/HIPAA), RDBMS foundations (SQL Server/PostgreSQL), backend stack integration (.NET/Java/Node.js), data warehousing concepts
Technologies
Azure Cosmos DB, MongoDB, Python, PowerShell, Bash, Terraform, Bicep, ARM, Azure Monitor, MongoDB Ops Manager
Responsibilities
Architect distributed data models and define partitioning/indexing strategies; conduct deep query analysis and implement cost/performance optimizations; build automation scripts for deployment and monitoring; design disaster recovery and geo-distribution strategies; partner with DevOps to integrate data access layers and IaC templates
Seniority
Senior, hands-on IC
