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MONGO DB

MONGO DB

ConfidentialPune, India
4 days ago
Job description

Mongo DB Developer

Exp 6 to 10 Yrs

Location Pune, Hyderabad

CTC 26 LPA

MongoDB Physical Data Modeller

Responsibilities

  • Develop high-quality Physical Data Models for MongoDB by analysing and translating provided Logical Data Models(LDMs) into practical, scalable schemas.
  • Analyse and interpret Logical Data Models to understand their structure, relationships, and requirements.
  • Work closely with business analysts and data architects to interpret Logical Data Models, ensuring a deep understanding of entity relationships, dependencies, and attribute definitions.
  • Design, optimise, and implement efficient data models in MongoDB, ensuring they meet performance and storage requirements.
  • Act as the bridge between database management, development, and infrastructure teams, ensuring that the data model aligns with application requirements and infrastructure limitations.
  • Apply best practices for data modelling in MongoDB, including schema design, indexing and data distribution.
  • Maintain comprehensive documentation of all 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 enhancements.
  • Guide junior team members and stake holders on best practices in MongoDB data modelling and usage, fostering a deeper understanding across the organisation.

Qualifications

  • Demonstrable hands-on experience in designing, deploying, & managing MongoDB PDMs that support large-scale applications.
  • Strong knowledge of MongoDB concepts, including schema design, index strategies, and query optimization.
  • Ability to interpret and work with Logical Data Models to create scalable, robust Physical Data Models.
  • Expertise in document-oriented database design, with a deep understanding of data normalization and denormalization technique specific to MongoDB.
  • Proficiency with MongoDB tools (e.g., Compass, Atlas) and data modelling software.
  • Ability to interpret complex Logical Data Models and translate them into efficient MongoDB Physical Data Models.
  • Detail-oriented with strong analytical skills and the ability to work independently and collaboratively.
  • Preferred Skills

  • Experience with other NoSQL databases or data modelling tools.
  • Familiarity with industry standards in data modelling and database design.
  • Knowledge of industry-standard data modelling practices and familiarity with MongoDB performance tuning, backup, and recovery strategies.
  • Skills Required

    Query Optimization, Schema Design, Mongodb

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