Data Engineer with GCP & AI Expertise
Posted
Summary
Data engineer at Loblaw Digital in Toronto designing scalable data pipelines and architectures on GCP, adding monitoring/validation for reliability, contributing to backend/API design for reporting, and collaborating with AI teams. Core stack includes PySpark, SQL, Python or Java, cloud data services, and orchestration tools.
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 and orchestration tools
Drive impactful data solutions at Loblaw to unlock advanced analytics and AI initiatives.
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 and orchestration tools
Drive impactful data solutions at Loblaw to unlock advanced analytics and AI initiatives.