MongoDB Developer

Ajna Infotech•New York, NY

3d•Remote

About The Position

Job Title: MongoDB Developer Location: Remote (must work EST hours) Type: Contract Technical Skills: 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) Additional Information All your information will be kept confidential according to EEO guidelines.

Requirements

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)