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MongoDB Data Modeler

MongoDB Data Modeler

PloyKuala Lumpur, Kuala Lumpur, Malaysia
14 hours ago
Job description

Overview

We are seeking an experienced MongoDB Data Modeler to join our client's technology team. The successful candidate will be responsible for designing, implementing, and maintaining high-quality Physical Data Models (PDMs) for MongoDB, translating Logical Data Models (LDMs) into scalable, efficient database schemas. This role requires a strong understanding of data modelling principles, MongoDB architecture, and close collaboration with business analysts, architects, and development teams to ensure optimal database performance and alignment with business requirements.

Key Responsibilities

  • Develop high-quality Physical Data Models for MongoDB by analysing and translating Logical Data Models into practical, scalable schemas.
  • Analyse and interpret Logical Data Models to understand structure, relationships, and requirements.
  • Collaborate with business analysts and data architects to interpret entity relationships, dependencies, and attribute definitions.
  • Design, optimise, and implement efficient MongoDB data models that meet performance and storage requirements.
  • Act as the bridge between database management, development, and infrastructure teams to ensure alignment with application and infrastructure needs.
  • Apply best practices in MongoDB schema design, indexing, and data distribution.
  • Maintain comprehensive documentation of Physical Data Models, schema changes, and MongoDB configurations.
  • Collaborate with cross-functional teams to gather requirements, align data models with business needs, and ensure data quality.
  • Provide insights and recommendations for MongoDB schema design improvements and performance enhancements.
  • Mentor junior team members and guide stakeholders on MongoDB data modelling best practices.

Required Qualifications

  • Demonstrated hands-on experience in designing, deploying, and managing MongoDB Physical Data Models for large-scale applications.
  • Strong expertise in MongoDB schema design, indexing strategies, and query optimisation.
  • Ability to interpret and transform Logical Data Models into robust Physical Data Models.
  • Deep knowledge of document-oriented database design, including normalisation and denormalisation techniques specific to MongoDB.
  • Proficiency with MongoDB tools (e.g., Compass, Atlas) and data modelling software.
  • Strong analytical and detail-oriented skills, with the ability to work independently and collaboratively.

    • Preferred Skills

  • Experience with other NoSQL databases (e.g., Cassandra, Couchbase) or data modelling tools.
  • Familiarity with industry-standard data modelling and database design practices.
  • Knowledge of MongoDB performance tuning, backup, and recovery strategies.

    • Seniority level

  • Entry level

    • Employment type

  • Full-time

    • Job function

  • Information Technology

    • Industries

  • IT Services and IT Consulting

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