MongoDB Engineer

MongoDB Engineer RemoteLooking for a highly skilled MongoDB Engineer with a strong background in developing highly scalable solutions. Must be able to work within a highly functioning team to meet required deadlines.Technical SkillsData 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.Tooling: 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.).Data Quality and Governance: Experience and understanding of data lifecycle, architecture, modeling, metadata, lineage, profiling, monitoring, rule definition, and remediation to ensure data accuracy, consistency, and reliability during migration.Relational DB Expertise: Understanding of traditional relational database systems and how they work (SQL syntax, schema design, import, indexing operations, data export) is crucial for migrating from traditional databases to MongoDB.Data Movement Expertise: 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, GCP 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) Highly Desired: Mark Logic: Understanding of Mark Logic database and XQuery concepts. Healthcare Experience: Familiarity with healthcare data and systems. Experience with members, providers, and claims systems and data is most desired.Soft SkillsProblem-Solving: Analytical thinking and the ability to diagnose and resolve technical challenges.Communication: Clearly communicating complex technical concepts to technical and non-technical stakeholders, creating documentation, and coordinating with different teams.Leadership: Demonstrates accountability and leadership in driving program targets and works together with team members and stakeholders to achieve goals.