MongoDB Engineer 100% Remote
Apetan Consulting LLCUnited States1 day ago
Full-timeRemote FriendlyEngineering, Information Technology
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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
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
Key Skills
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