Build analytical data solutions with Python, PySpark, and AWS in downtown Toronto, working onsite four days weekly on a hybrid contract.
This senior development assignment supports a global IT services firm serving a leading investment and wealth management services firm. You will contribute to an Analytical Work Bench integration project and a JupyterLab-based integrated development environment. The work centers on integrating large datasets into the research ecosystem through the resource platform. Collaboration with end users is required to gather and discuss complex business requirements effectively.
Key Responsibilities
Integrate large datasets into the research ecosystem
Use the resource platform for data integration
Support Analytical Work Bench integration activities
Contribute to a custom JupyterLab-based development setting
Requirements
Seven-plus years in a related data-oriented field
Over eight years using Python Core and PySpark
Cloud technology experience, specifically AWS
Strong Big Data solutions experience using AWS EMR
At least two years with Pylint and Pytest
Apply senior Python, PySpark, AWS EMR, and data integration expertise to Toronto’s analytical development project.