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Associate Engineer III – BI Developer
lululemon is a yoga-inspired technical apparel company up to big things. The practice and philosophy of yoga inform our overall purpose to elevate the world through the power of practice. We are proud to be a growing global company with locations all around the world, from Vancouver to Shanghai, and places in between. We owe our success to our innovative product, our emphasis on our stores, our commitment to our people, and the incredible connections we get to make in every community we are in.
This role is on Global Supply Chain Technology team in the lululemon technology organization. lululemon Engineering is dedicated to building secure, reliable, and performant products for our guests and partners. We embrace the philosophies of Agile, DevOps, and SRE to accelerate our development process and provide the most enjoyable, inclusive, and supportive work environment possible. As an Engineer, you will work as part of a global team supported by our business and architecture partners to help us collaboratively develop and deliver industry leading technology solutions that drive lululemon’s business goals.
Experience and skill sets:
Analyze, design, develop, implement, document, and maintains applications systems, working on moderately complex to highly complex project assignments.
Consult with Quality Assurance and Business Analysts in the development and execution of test plans.
May act as a source for direction, training, and guidance for less experienced team members.
Bachelor's degree in computer science/information technology, or in a related technical field or equivalent technology experience.
~ 2– 5 years of engineering experience
Architect and manage secure, scalable AWS cloud solutions leveraging advanced native services.
Design and deliver interactive, data-driven dashboards in Power BI to enable actionable business insights.
Implement and optimize SCI (Supply Chain Insights)/ IBM Cognos solutions to enhance operational visibility and decision-making (Good to have).
Develop and maintain performant data pipelines and analytics workflows in Snowflake.
Build automation scripts, backend services, and data processing tools using Python.
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