Become a pivotal member of lululemon’s Retail Engineering team as a Senior Data Engineer. This hybrid role focuses on building scalable data systems using Snowflake and Azure Data Factory.
At lululemon, you will craft and implement complex data pipelines that span multiple sources for global store reporting. You'll establish data quality standards while mentoring less experienced engineers and collaborating with stakeholders on data strategies. Your role will be vital in enhancing the team’s capability to deliver high-quality, business-ready data products.
Key Responsibilities:
• Lead design of advanced data systems and pipelines
• Write exemplary code for data transformation and reference
• Enforce data quality standards across teams
• Conduct impactful data quality and performance code reviews
• Oversee incident response for data pipeline failures
Requirements:
• Bachelor’s in Computer Science or related field
• 6-10 years in enterprise data solutions
• Expertise in Power BI and data architecture
• Solid experience with Snowflake and Azure Data Factory
• Proven ability in establishing governance frameworks
Utilize your leadership in data engineering to drive innovation and support lululemon’s mission.
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📌 Senior Data Engineer at lululemon (British Columbia)
🏢 Lululemon
📍 British Columbia
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