ScaleneWorks INC · 9 hours ago
MongoDB Developer
ScaleneWorks INC is seeking a MongoDB Developer with extensive expertise in MongoDB architecture and implementation. The role involves designing data models, optimizing queries, and ensuring data quality and governance during migrations.
Staffing & Recruiting
Responsibilities
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
Proficiency in MongoDB Advanced CRUD operation and complex aggregation pipelines
Knowledge of Database indexing techniques and strategies to optimize and improve query performance
Experience in MongoDB’s high availability and failover, vertical and horizontal scalability, including replica sets and sharding
Proficiency with MongoDB Atlas, Shell, compass, native tools (mongo dump, mongo restore, mongo import, mongo export) and drivers (Node.js, Python, Java, etc.)
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
Understanding of relational database systems (SQL, schema design, import, export etc.) is crucial for migrating from traditional databases to MongoDB
Expertise in ETL/ ELT processes and tools
Strong understanding of Kafka Design patterns is nice to have
Proficiency in languages like Python, JavaScript, Spring boot for migration scripts and automation. Experienced in developing using Microservices Architecture and Springboot frameworks
Expert Knowledge in any of these cloud platforms (AWS, Google Cloud) and cloud migration strategies
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)
Good understanding of Mark Logic database and XQuery
Knowledge of previous healthcare data experience (members, providers, and claims) is most desired
Analytical thinking and the ability to diagnose and resolve technical challenges
Clearly communicating complex technical concepts to technical and non-technical stakeholders, creating documentation, and coordinating with different teams
Demonstrates accountability and leadership in driving the program targets and influences the team /stakeholders towards the target
Qualification
Required
MongoDB EXPERT, not just a developer
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
Proficiency in MongoDB Advanced CRUD operation and complex aggregation pipelines
Knowledge of Database indexing techniques and strategies to optimize and improve query performance
Experience in MongoDB's high availability and failover, vertical and horizontal scalability, including replica sets and sharding
Proficiency with MongoDB Atlas, Shell, compass, native tools (mongo dump, mongo restore, mongo import, mongo export) and drivers (Node.js, Python, Java, etc.)
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
Understanding of relational database systems (SQL, schema design, import, export etc.) is crucial for migrating from traditional databases to MongoDB
Expertise in ETL/ ELT processes and tools
Strong understanding of Kafka Design patterns
Proficiency in languages like Python, JavaScript, Spring boot for migration scripts and automation
Expert Knowledge in any of these cloud platforms (AWS, Google Cloud) and cloud migration strategies
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)
Analytical thinking and the ability to diagnose and resolve technical challenges
Clearly communicating complex technical concepts to technical and non-technical stakeholders, creating documentation, and coordinating with different teams
Demonstrates accountability and leadership in driving the program targets and influences the team /stakeholders towards the target
Preferred
Good understanding of Mark Logic database and XQuery
Knowledge of previous healthcare data experience (members, providers, and claims) is most desired