Inclusion without Exception The company is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.Required ExperienceData Modeling & Schema Design: Expertise in designing flexible schemas, understanding when to embed vs. reference documents to optimize performance.Query Optimization: Proficiency in writing optimized MongoDB queries, utilizing indexes, and leveraging explain plans.Aggregation Framework: Solid ability to create multi-stage pipelines for complex data processing.Programming Proficiency: Experience with driver-specific languages (Node.Js, Python, Java).MongoDB Tools: Experience with MongoDB Atlas, Compass, and Ops Manager.CRUD Operations: Deep knowledge of create, read, update, and delete actions in NoSQL.Technical Proficiency: Deep understanding of MongoDB architecture, CRUD operations, and the Aggregation Framework.Data Modeling: Expertise in mapping complex data requirements to flexible NoSQL structures.Programming Skills: Proficiency in backend languages (e.G., Python, Node.Js, Java) and MongoDB drivers.Cloud Experience:



Familiarity with deploying MongoDB on cloud platforms like AWS, Azure, or MongoDB Atlas.Analytical Skills: Strong ability to troubleshoot performance bottlenecks, analyze query plans, and optimize slow queries.Roles & ResponsibilitiesDatabase Design and Modeling: Designing efficient, scalable JSON/BSON schema models for document-oriented storage, tailored for application requirements.Query Optimization: Developing and tuning complex queries, indexes, and aggregation pipelines to enhance data retrieval performance.Performance Tuning: Monitoring database health, identifying bottlenecks, and optimizing performance in production environments.Data Integrity and Security: Implementing security measures, managing user permissions, and ensuring data integrity across clusters.Infrastructure Management: Configuring and deploying replica sets and sharding for high availability and horizontal scaling.Application Integration: Working with backend engineers to integrate MongoDB with programming languages like Node.Js, Python, or Java.Documentation: Maintaining detailed documentation for database architecture, schemas, and API procedures.Salary Range - CA$ 100,000 - CA$ 130,000 Per YearLocation: Mississauga, ON Job Function: TECHNOLOGY Role: Developer Job Id: Desired Skills: Java | Mongo DB | Python#J-18808-Ljbffr

📌 Mongo Developer Engineer - C$100,000 - C$130,000 A Year (Mississauga)
🏢 United States Digital Space
📍 Mississauga