Elevate data quality as a Data Engineer with Insight Global at lululemon in Vancouver. Engage in Snowflake and Databricks to develop scalable data solutions.
This role demands an intermediate level of expertise, with 4-7 years of experience focusing on Data Quality Engineering. You'll integrate, model, and orchestrate complex datasets while enhancing quality through automation frameworks and monitoring solutions. Your proactive communication and problem-solving abilities will support the Enterprise Data Quality Engineering team.
Key Responsibilities:
• Design and implement modeling solutions on Snowflake
• Maintain and enhance data quality pipelines
• Develop automation for monitoring data quality
• Identify and implement process optimization opportunities
• Document technical procedures effectively
Requirements:
• 4-7 years of relevant Data Engineering experience
• Experience with SQL and programming languages such as Java
• Working knowledge of cloud ...