Senior Data Engineer at Loblaw
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Summary
Senior Data Engineer on Loblaw's Retail Media Platform team, leading the design of scalable data platforms, large-scale data pipelines, and backend APIs. Core stack is PySpark and GCP (Dataproc, BigQuery), with mentoring of engineers and close collaboration with product and AI teams.
Shape the future of data engineering with Loblaw as a Senior Data Engineer focused on AI and analytics platforms. Contribute to high-scale data architecture and design initiatives.
In this senior role, you'll lead complex design projects on the Retail Media Platform team at Loblaw Companies Limited. Your expertise will guide the development of large-scale data pipelines and backend systems that enhance performance and reliability. Collaborate closely with product managers and AI teams to translate business requirements into robust solutions while mentoring engineers for improved technical excellence.
Key Responsibilities: • Lead design for scalable and high-performance data platforms • Drive improvements in data pipelines and API architecture • Architect and optimize data pipelines using PySpark and GCP • Contribute to backend service design and API evolution • Mentor engineers and drive continuous process improvement
Requirements: • BA/BS in Computer Science or related field • Extensive experience with PySpark and large-scale systems • Proficient in GCP services like Dataproc and BigQuery • Strong SQL skills and knowledge of non-relational stores • Experience in Agile environments and excellent communication skills
Leverage your data engineering expertise to influence Loblaw's innovative AI and analytics capabilities.
In this senior role, you'll lead complex design projects on the Retail Media Platform team at Loblaw Companies Limited. Your expertise will guide the development of large-scale data pipelines and backend systems that enhance performance and reliability. Collaborate closely with product managers and AI teams to translate business requirements into robust solutions while mentoring engineers for improved technical excellence.
Key Responsibilities: • Lead design for scalable and high-performance data platforms • Drive improvements in data pipelines and API architecture • Architect and optimize data pipelines using PySpark and GCP • Contribute to backend service design and API evolution • Mentor engineers and drive continuous process improvement
Requirements: • BA/BS in Computer Science or related field • Extensive experience with PySpark and large-scale systems • Proficient in GCP services like Dataproc and BigQuery • Strong SQL skills and knowledge of non-relational stores • Experience in Agile environments and excellent communication skills
Leverage your data engineering expertise to influence Loblaw's innovative AI and analytics capabilities.