Closed listing
MongoDB Data Modeler
- Toronto, ON, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
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Original job description
Archived listing. The details below describe a past opening.
Job Title: MongoDB Data Modeler / Data Engineer
Location: Toronto, Canada
Job Description
We are seeking an experienced MongoDB Data Modeler / Data Engineer with strong expertise in MongoDB, JSON schema design, PySpark, SQL, and Azure Data Platforms to support enterprise data ingestion, modeling, and analytics initiatives.
Key Responsibilities
- Design, develop, and maintain MongoDB data models, JSON schemas, and schema governance frameworks.
- Lead schema evolution, versioning, migration, indexing, and performance optimization activities.
- Develop scalable ETL/ELT pipelines using PySpark, Spark SQL, and SQL.
- Build and support cloud-based data solutions using Azure Databricks, Azure Data Factory (ADF), and Azure Synapse Analytics.
- Design and optimize data ingestion, transformation, and orchestration workflows.
- Ensure data quality, lineage, scalability, performance, and governance across enterprise data platforms.
- Collaborate with business stakeholders, architects, and development teams to gather requirements and deliver data solutions.
- Create technical documentation, data models, and implementation standards.
Required Skills
- 5+ years of experience in MongoDB data modeling and JSON schema design.
- Strong hands-on experience with MongoDB, including schema design and performance optimization.
- Advanced proficiency in SQL, PySpark, and Spark SQL.
- Experience building data ingestion, ETL/ELT, and cloud data pipelines.
- 2+ years of experience with Azure Cloud, including:
- Azure Databricks
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Strong understanding of data architecture, data governance, and data quality practices.
- Excellent analytical, communication, and problem-solving skills.
Preferred Skills
- Experience with MongoDB Atlas on Azure.
- Knowledge of Kafka, Confluent, and Schema Registry.
- Expertise in MongoDB indexing, sharding, and performance tuning.
- Experience in Payments domain and ISO 20022 standards.
More about this job
Responsibilities
Design and govern MongoDB data models and JSON schemas, including schema evolution, migrations, indexing, and performance optimization. Build and support scalable Azure-based data ingestion and ETL/ELT workflows, ensuring data quality, lineage, governance, and performance while collaborating with stakeholders and documenting implementation standards.
Requirements
Requires at least five years of MongoDB data modeling and JSON schema design experience, advanced SQL, PySpark, and Spark SQL skills, and experience building data pipelines. Also requires at least two years of Azure Cloud experience with Databricks, Data Factory, and Synapse, alongside strong knowledge of data architecture, governance, and quality practices.
Skills
- MongoDB Data Modeling
- JSON Schema Design
- MongoDB Performance Optimization
- SQL
- PySpark
- Spark SQL
- Azure Databricks
- Azure Data Factory
- Azure Synapse Analytics
- ETL/ELT Pipelines
- Data Ingestion
- Data Governance
- Data Quality
- Schema Evolution
- Data Architecture
- MongoDB Indexing
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
Keywords
- MongoDB
- MongoDB Atlas
- JSON Schema
- PySpark
- SQL
- Spark SQL
- Azure Cloud
- Azure Databricks
- Azure Data Factory
- Azure Synapse Analytics
- ETL/ELT
- Data Ingestion
- Data Modeling
- Schema Governance
- Schema Evolution
- Schema Versioning
- Data Migration
- Indexing
- Sharding
- Performance Tuning
- Data Architecture
- Data Governance
- Data Quality
- Data Lineage
- Kafka
- Confluent
- Schema Registry
- Payments
- ISO 20022
- Cloud Data Pipelines