Insight Global
Data Quality Engineer at lululemon
Job Description
Advance your career as a Data Engineer with Insight Global, working onsite at lululemon in Vancouver. Focus on building data quality solutions using Snowflake and Databricks.
The Data Engineer role requires 4-7 years of experience, centering on Data Quality Engineering and automation frameworks. You will be an essential part of the Enterprise Data Quality Engineering team, supporting the organization's data maturity while monitoring quality observability initiatives. This role combines technical talent with ownership of complex data solutions.
Key Responsibilities:
• Design integration and modeling solutions using Snowflake
• Build and maintain data quality pipelines across datasets
• Develop automation frameworks for monitoring data quality
• Identify optimization opportunities for data processes
• Troubleshoot and resolve data engineering incidents
Requirements:
• 4-7 years experience in Data Engineering
• Proficient in SQL and programming languages like...
The Data Engineer role requires 4-7 years of experience, centering on Data Quality Engineering and automation frameworks. You will be an essential part of the Enterprise Data Quality Engineering team, supporting the organization's data maturity while monitoring quality observability initiatives. This role combines technical talent with ownership of complex data solutions.
Key Responsibilities:
• Design integration and modeling solutions using Snowflake
• Build and maintain data quality pipelines across datasets
• Develop automation frameworks for monitoring data quality
• Identify optimization opportunities for data processes
• Troubleshoot and resolve data engineering incidents
Requirements:
• 4-7 years experience in Data Engineering
• Proficient in SQL and programming languages like...