AJNA INFOTECH · 13 hours ago
MongoDB Developer
United States
Full-time
Remote
Mid LevelAjna Infotech is an Information Technology and Services company seeking a MongoDB Developer. The role involves designing and optimizing MongoDB schemas, ensuring data quality, and implementing cloud technologies while collaborating with various teams.
Information Technology & Services
Responsibilities
Data Modeling and Schema
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 Expertise: Data Modeling and Schema
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
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)
Problem-Solving: 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
Strong understanding of Kafka Design patterns is nice to have
Good understanding of Mark Logic database and XQuery
Knowledge of previous healthcare data experience (members, providers, and claims) is most desired
Company
AJNA INFOTECH
ajna infotech specialize in providing Customers with services in the areas of IT Project Assessments, Implementations & Upgrades, Supplemental Resources, Remote Support, and System Integration & Performance Tuning in all the areas.
Founded in 2013
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase