AudienceView

Data Engineer

• Lead the migration to Microsoft Fabric.
• Rebuild existing pipelines, workflows, and workspaces from our Azure environment.
• Expand and scale the platform to create value for users.
• Design and build ingestion for new sources, create and validate transformation code, and surface data in intuitive semantic layers.
• Maintain and improve data trust.
• Work in a medallion architecture.
• Put engineering quality first.
• Connect data to consumption.
• Consider storage and lifecycle.