Title -: MongoDB Engineer /Remote
Location- : Hartford, CT Hybrid
Technical Skills:
MongoDB Expertise:
Data Modelling 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 MongoDBs high availability and failover, vertical and horizontal scalability, including replica sets and sharding. MongoDB Tools: Proficiency with MongoDB Atlas, , 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, Intransit). 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
Location- : Hartford, CT Hybrid
Technical Skills:
MongoDB Expertise:
Data Modelling 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 MongoDBs high availability and failover, vertical and horizontal scalability, including replica sets and sharding. MongoDB Tools: Proficiency with MongoDB Atlas, , 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, Intransit). 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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