MongoDB Data Modeler / Data Engineer

Role Overview

We are looking for a MongoDB Data Modeler / Data Engineer with solid experience in JSON/MongoDB data modeling, PySpark, SQL, and Azure data platforms. The ideal candidate will have hands-on experience designing data schemas and building scalable cloud-based data pipelines.

Key Responsibilities
Design and develop MongoDB JSON data models, schemas, and XSD/JSON schemas.
Manage schema evolution, versioning, migration, indexing, and performance optimization.
Develop and optimize data pipelines using PySpark, Spark SQL, and SQL.
Build and maintain ETL/ELT and data ingestion pipelines using Azure Databricks, ADF, and Synapse.
Ensure data quality, scalability, performance, and data lineage across platforms.
Work with business and technical teams to gather requirements and deliver data solutions.




Troubleshoot data and pipeline issues and support production environments.

Must Have
5+ years of experience in JSON-based data modeling and schema design.
Robust hands-on experience with MongoDB.
Strong SQL, PySpark, and Spark SQL skills.
2+ years of Azure Cloud experience with Databricks, ADF, and Synapse.
Strong knowledge of ETL/ELT, data ingestion, orchestration, and cloud data pipelines.
Solid analytical, communication, and documentation skills.

Nice to Have
Experience with MongoDB Atlas on Azure.
Knowledge of Kafka/Confluent Schema Registry.
Experience with MongoDB indexing, sharding, and performance tuning.
Payments / ISO 20022 domain experience.
Experience with data quality, governance, lineage, and audit processes.

📌 Mongodb Data Modeler Toronto (Canada)
🏢 Confiar Services
📍 Canada