MongoDB Engineer

Apetan Consulting LLC • United State
Remote
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AI Summary

Design and implement MongoDB solutions, ensure data quality and governance, and provide technical expertise in data modeling, querying, and replication.

Key Highlights
Design and implement MongoDB solutions
Ensure data quality and governance
Provide technical expertise in data modeling, querying, and replication
Technical Skills Required
MongoDB Data Modeling Schema Design Querying Aggregation Indexing Replication Sharding MongoDB Atlas MongoDB Shell MongoDB Compass MongoDB Drivers (Node.js, Python, Java) ETL/ELT Processes Kafka Python JavaScript Spring Boot Microservices Architecture AWS Google Cloud Cloud Migration Strategies
Benefits & Perks
Remote work
Contractor to hire

Job Description


MongoDB Engineer /Remote / Contractor to hire

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

Relational Database Knowledge: Understanding of relational database systems (SQL, schema design, import, export etc.) is crucial for migrating from traditional databases to MongoDB.

ETL/ELT Expertise

ETL Processes: 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 Spring

boot 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

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