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Job Description & How to Apply Below
As a Senior Data Engineer at lululemon, you will be tasked with designing sophisticated data systems that meet scalability and reliability requirements. You will enforce high standards of data quality while guiding less experienced engineers through their professional development. This role allows for significant influence over the technical direction of the data architecture.
Key Responsibilities:
• Implement complex data systems and pipelines across various sources
• Author high-quality transformation code as a technical reference
• Set and uphold data quality standards across the domain
• Lead critical code reviews for performance and maintainability
• Oversee incident management for data pipeline disruptions
Requirements:
• Bachelor’s in Computer Science, Data Science, or Engineering
• 6-10 years of experience in data solution development
• Proven success in architecting data systems for diverse use cases
• Deep familiarity with Power BI for enterprise-scale solutions
• Strong background in Azure Data Factory and Snowflake architecture
Utilize your skills in data engineering to empower lululemon's data transformation initiatives.
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Position Requirements
10+ Years
work experience
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