Role: MongoDB Data Modeller
Location: Toronto, ON
Duration: Long Term Contract
Job Description:
MongoDB data modeller (JSON data modelling and schema creation).
5+ years of experience in JSON-based data modelling. Lead schema design to ensure data quality and performance.
Create XSD and JSON schemas. Lead MongoDB schema evolution, versioning, and migration. Rahona Data Engineer (data analytics ingestion and curation). Advanced proficiency with SQL query language.
Advanced proficiency in PySpark, including Spark SQL and performance optimization.
Minimum 2+ years of experience with Azure Cloud Development such as Azure Databricks (primary platform for PySpark), Azure Data Factory (ADF), Azure Synapse.
Strong knowledge of data ingestion, ETL processes, and orchestration frameworks for cloud environments.
Ability to design and manage data pipelines - extracting, transforming, and loading data - especially in cloud environments.
Soft Skills
Ability to work with business partners to gather data requirements. Strong analytical thinking, problem-solving, and troubleshooting abilities.
Self-motivated and proactive, with a keen eye for identifying opportunities for improvement and efficiency.
Excellent communication and documentation skills. NICE-TO-HAVE SKILLS: MongoDB data modeller (JSON data modelling and schema creation).
Apply MongoDB schema design patterns to develop scalable, performant data models.
Understand Confluent Kafka Schema Registry and how it influences schema design.
Experience with MongoDB indexing, sharding, and performance.
Experience with MongoDB Atlas in Azure. Rahona Data Engineer (data analytics ingestion and curation).
Knowledge of TD governance processes e.g., PIA, DAC. Familiarity with complying with audits and how processes should be set up so that audits go smoothly.
Domain Knowledge and Soft Skills.
Knowledge of the Payments domain. Awareness of ISO 20022 schemas in the Payments domain. Understanding data quality and lineage expectations for regulated environments.
Ability to work independently, research and explore new technologies, and develop solutions to complex problems while meeting timelines.
