MongoDB Engineer

·         Data Modeling and Schema Design: Proficiency in MongoDB''s flexible schema model, validation, access pattern recognition to design appropriate document structures (embedded and normalized models) for optimal read and write performance at scale.

·         Querying and Aggregation: Proficiency in MongoDB Advanced CRUD operation and complex aggregation pipelines.

·         Indexing: Knowledge of Database indexing techniques and strategies to maintain, optimize and improve query performance.

·         Replication and Sharding: Experience in MongoDB’s high availability and failover, vertical and horizontal scalability, including replica sets and sharding.

·         Tools Needed: Proficiency with MongoDB suite of products such as, Atlas, Shell and Compass. Must also possess knowledge of native MongoDB commands: mongo dump, mongo restore, mongo import, mongo export) and drivers (Node.js, Python, Java, etc.).

·         ETL: Expertise in ETL/ ELT processes, tools and methods. Knowledge of Pub/Sub, Kafka and other streaming toolsets is a plus.

·         Programming and Scripting: Proficiency in languages (Python, JavaScript, Spring boot) for migration scripts and automation. Experienced in developing using Microservices Architecture and Spring boot frameworks.

·         Cloud Technologies: Core competency in these cloud platforms and services: AWS, Google Cloud Platform and MongoDB Atlas. Cloud migration strategies and knowledge a must.

·         Data Security: Implementing security best practices, including authentication and encryption (At rest, In transit). Experience in multiple options in securing data within a healthcare organization (PHI, PII, and PCI)