Data Engineering Student: Build ETL Pipelines & Analytics
Summary
Build and optimize ETL pipelines for large-scale datasets using Azure and Hadoop, validate data quality, and collaborate with data scientists to support analytics initiatives.
Canadian Tire seeks a motivated Data Engineering Student to build and optimize data pipelines and ensure data quality across the organization. You will work on ETL processes for large-scale datasets and collaborate with data scientists to support analytics initiatives.
The role involves using cloud platforms like Azure and Hadoop, validating data, and documenting workflows while contributing to best practices in data engineering.