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MongoDB Data Modeler

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • Problem Solving
  • Collaboration
  • Communication
  • Analytical Skills

Roles & Responsibilities

  • Strong proficiency in unstructured and document-based data modeling.
  • Hands-on MongoDB data modeling experience (collections, documents, indexing, schema design).
  • Experience with MongoDB Atlas (clusters, monitoring, scaling, performance insights).
  • Expertise in query optimization and performance profiling.

Requirements:

  • Design and implement MongoDB NoSQL data models for unstructured and semi-structured data.
  • Develop efficient MongoDB queries, aggregations, and indexing strategies.
  • Analyze and optimize database performance, query execution plans, and storage efficiency.
  • Work with MongoDB Atlas for cluster management, monitoring, scaling, and performance tuning.

Job description

This is a remote position.

Job Description

We are looking for a Senior MongoDB Data Modeler with strong expertise in NoSQL and unstructured data modeling. The role involves designing scalable and efficient data models, writing optimized queries, and profiling database performance for document-based and unstructured data systems. The candidate will work closely with application and data engineering teams to ensure high-performance and resilient MongoDB solutions.

Key Responsibilities

·       Design and implement MongoDB NoSQL data models for unstructured and semi-structured data.

·       Develop efficient MongoDB queries, aggregations, and indexing strategies.

·       Analyze and optimize database performance, query execution plans, and storage efficiency.

·       Work with MongoDB Atlas for cluster management, monitoring, scaling, and performance tuning.

·       Collaborate with application, data, and integration teams to align data models with business use cases.

·       Ensure data consistency, scalability, and high availability in MongoDB environments.

·       Support data migration, model refactoring, and schema evolution strategies.

Mandatory Skills

·       Strong proficiency in unstructured and document-based data modeling.

·       Hands-on MongoDB data modeling experience (collections, documents, indexing, schema design).

·       Experience with MongoDB Atlas (clusters, monitoring, scaling, performance insights).

·       Expertise in query optimization and performance profiling.

·       Solid understanding of NoSQL design patterns and best practices.

Good to Have

·       Experience working with large-scale distributed systems.

·       Exposure to data ingestion pipelines and APIs.

·       Knowledge of security and access controls in MongoDB Atlas.

Candidate Profile

7–10 years of overall experience with strong hands-on focus on MongoDB and NoSQL data modeling. Senior-level individual contributor capable of independently designing optimal data models with strong analytical and performance-tuning skills.



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