Senior Python Pyspark Aws Developer

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 ecosystemUse the resource platform for data integrationSupport Analytical Work Bench integration activitiesContribute to a custom JupyterLab-based development environmentRequirements:
Seven-plus years in a related data-oriented fieldOver eight years using Python Core and PySparkCloud technology experience, specifically AWSStrong Big Data solutions experience using AWS EMRAt least two years with Pylint and PytestApply senior Python, PySpark, AWS EMR, and data integration expertise to Toronto’s analytical development project.
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