About the Role
Transform data processing at Loblaw as a Data Engineer focusing on GCP and AI integration. Leverage your skills in building scalable data solutions to support advanced analytics.
This role requires designing data architectures and optimizing pipelines, enabling operational excellence. You will partner with teams to bridge traditional data engineering with innovative AI applications and enhance overall data quality and performance.
Key Responsibilities: • Architect scalable data pipelines using GCP technologies • Implement monitoring and validation for data reliability • Contribute to backend and API design for reporting • Mentor team members and drive engineering excellence • Collaborate with AI teams for data-driven features
Requirements: • Bachelor’s degree in a relevant field • Experience with PySpark and cloud data services • Strong SQL skills for analytical data handling • Programming experience in Python or Java • Familiarity with real-time data systems...
This role requires designing data architectures and optimizing pipelines, enabling operational excellence. You will partner with teams to bridge traditional data engineering with innovative AI applications and enhance overall data quality and performance.
Key Responsibilities: • Architect scalable data pipelines using GCP technologies • Implement monitoring and validation for data reliability • Contribute to backend and API design for reporting • Mentor team members and drive engineering excellence • Collaborate with AI teams for data-driven features
Requirements: • Bachelor’s degree in a relevant field • Experience with PySpark and cloud data services • Strong SQL skills for analytical data handling • Programming experience in Python or Java • Familiarity with real-time data systems...
Ready to Apply?
Submit your application today and take the next step in your career journey with Loblaw Digital.
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