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AJNA INFOTECH

MongoDB Developer

Posted Yesterday
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In-Office or Remote
Hiring Remotely in New York, NY
Mid level
In-Office or Remote
Hiring Remotely in New York, NY
Mid level
The MongoDB Developer will model data, optimize queries, implement high availability, manage migrations, and ensure data security, particularly in healthcare contexts.
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Company Description

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

Additional Information

 All your information will be kept confidential according to EEO guidelines.

Top Skills

AWS
GCP
Java
JavaScript
Kafka
MongoDB
Python
Spring Boot
SQL

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