MongoDB Developer

Ajna Infotech • New York, NY

25d • Remote

About The Position

Role: MongoDB Developer
Location: Remote (must work EST hours)
Type: Contract
Technical Skills:
MongoDB Expertise: 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 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.
MongoDB Tools: Proficiency with MongoDB Atlas, Shell, compass, native tools (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 & Knowledge: Understanding of relational database systems (SQL, schema design, import, export etc.) is crucial for migrating from traditional databases to MongoDB.
ETL/ELT Processes & Expertise: Expertise in ETL/ ELT processes and tools.
Kafka: Strong understanding of Kafka Design patterns is nice to have
Programming and Scripting: Proficiency in languages like Python, JavaScript, Spring boot for migration scripts and automation.
Experienced in developing using Microservices Architecture and Springboot frameworks.
Cloud Technologies: Expert Knowledge in any of these cloud platforms (AWS, Google Cloud) and cloud migration strategies
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: Good understanding of Mark Logic database and XQuery.
Healthcare experience: Knowledge of previous healthcare data experience (members, providers, and claims) is most desired.
Soft Skills: Problem-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 the program targets and influences the team /stakeholders towards the target

Requirements

• MongoDB Expertise: 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 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.
• MongoDB Tools: Proficiency with MongoDB Atlas, Shell, compass, native tools (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 & Knowledge: Understanding of relational database systems (SQL, schema design, import, export etc.) is crucial for migrating from traditional databases to MongoDB.
• ETL/ELT Processes & Expertise: Expertise in ETL/ ELT processes and tools.
• Programming and Scripting: Proficiency in languages like Python, JavaScript, Spring boot for migration scripts and automation.
• Experienced in developing using Microservices Architecture and Springboot frameworks.
• Cloud Technologies: Expert Knowledge in any of these cloud platforms (AWS, Google Cloud) and cloud migration strategies
• 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)
• Problem-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 the program targets and influences the team /stakeholders towards the target

Nice To Haves

• Kafka: Strong understanding of Kafka Design patterns
• Highly desired Mark Logic: Good understanding of Mark Logic database and XQuery.
• Healthcare experience: Knowledge of previous healthcare data experience (members, providers, and claims) is most desired.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed