Sr. Data Engineer position at Columbia Sportswear's Digital Technology group, responsible for designing, building, and supporting curated analytical datasets and data pipelines using Azure Databricks, with a focus on Supply Chain and DTC analytics.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience
- Strong proficiency in SQL and query optimization for analytical workloads
- Hands-on experience building data pipelines and transformations using Azure Databricks (Spark / Delta Lake preferred)
- Solid foundation in data modeling and data warehousing concepts, including dimensional modeling and star schemas
- Experience designing and supporting ETL/ELT pipelines using tools such as Azure Data Factory, Databricks, or similar platforms
- Experience working with large-scale or distributed data processing systems
- Hands-on experience with Azure data services, such as Azure Data Lake Storage, Azure Data Factory, and Databricks
- Experience supporting analytics or BI use cases, including familiarity with Power BI datasets or semantic models
- Working knowledge of Python or another scripting language used in data engineering workflows
- Advanced DAX skills and proficiency in languages such as Python, PowerShell, R, or Java to support automation, scripting, or advanced analytics.
Benefits
- Company benefits not specified in job description