100% Remote contract Role of MongoDB Engineer With Mark Logic

100% Remote contract Role of MongoDB Engineer With Mark Logic

Posted 2 weeks ago by 1753864658

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Negotiable
Outside
Remote
USA
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Aggregation Framework Apache Kafka Authentications Automation Cloud Computing Cloud Migration Cloud Technologies Cloud Technology Database Systems Data Consistency Data Encryption Data Modeling Data Protection Strategy Data Quality Data Retrieval Data Security Encryption Extract Transform Load (ETL) Generic Programming Google Cloud Indexing JavaScript (Programming Language) Marklogic Microservices MongoDB Nice (Unix Utility) Python (Programming Language) Query Languages Query Performance Relational Databases Scalability Software Development Stakeholder Management Verification And Validation XQuery

Summary: The MongoDB Engineer with Mark Logic role is a 100% remote position focused on supporting the modernization of Mark Logic to MongoDB. The candidate must possess a unique blend of technical and soft skills to manage end-to-end activities effectively. Key responsibilities include data modeling, querying, and ensuring data quality during migration. Familiarity with cloud technologies and security best practices in healthcare is also essential.

Key Responsibilities:

  • Support end-to-end activities for Mark Logic modernization to MongoDB.
  • Design appropriate document structures for optimal performance and scalability.
  • Utilize MongoDB Query Language (MQL) and the Aggregation Framework for data retrieval.
  • Optimize indexes for improved query performance.
  • Implement high availability and scalability features, including replica sets and sharding.
  • Utilize MongoDB tools like Compass and Atlas.
  • Manage ETL processes and ensure data quality during migration.
  • Develop migration scripts using programming languages like Python and JavaScript.
  • Implement security best practices for data protection in healthcare.
  • Communicate complex technical concepts to stakeholders and create documentation.

Key Skills:

  • Data modeling and schema design in MongoDB.
  • Proficiency in MongoDB Query Language (MQL) and Aggregation Framework.
  • Knowledge of indexing, replication, and sharding in MongoDB.
  • Familiarity with MongoDB tools, especially Atlas.
  • Understanding of relational database systems and ETL processes.
  • Proficiency in programming languages like Python and JavaScript.
  • Expertise in cloud technologies (AWS, Google Cloud).
  • Knowledge of data security best practices in healthcare.
  • Understanding of Mark Logic and Xquery language.
  • Strong understanding of Kafka design patterns.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Position: MongoDB Engineer With Mark Logic

Location: 100% Remote

Duration: 12+months Contract C2C

Job Description:

Should possess unique blend of blend of technical skills and soft skills required to support end to end activities for Marklogic modernization to MongoDB.

Technical Skills:

Data Modeling and Schema Design: Understanding MongoDB's flexible schema model and how to design appropriate document structures (embedded and normalized models) for optimal performance and scalability. Knowledge of healthcare data (members, providers, and claims) is most desired

Querying and Aggregation: Proficiency in MongoDB Query Language (MQL) and the Aggregation Framework for efficient data retrieval and transformation.

Indexing: Knowledge of different index types and how to optimize indexes for improved query performance.

Replication and Sharding: Understanding of MongoDB's high availability and scalability features, including replica sets and sharding.

MongoDB Tools: Familiarity with MongoDB tools like Compass, Atlas, and native tools (mongodump, mongorestore) with a particular emphasis on Atlas.

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

ETL Processes: Expertise in Extract, Transform, Load (ETL) processes and tools.

Data Quality and Validation: Implementing data quality rules, validation techniques, and ensuring data consistency during migration.

Programming and Scripting: Proficiency in languages like Python , JavaScript, Springboot for migration scripts and automation. Experienced in development 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. Knowledge of the options to secure data within a healthcare organization (PHI, PII, and PCI)

Mark Logic: Good understanding of Mark Logic database and Xquery language is desirable

Kafka: Strong understanding of Kafka Design patterns is nice to have

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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