A minimum of four (4) years of extensive full-time equivalent experience as a data pipeline engineer responsible for architecting, designing, developing/authoring, testing, deploying, monitoring and supporting scalable and fault-tolerant ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) solutions that move data – in near real-time and/or on a schedule - between on-premises and cloud infrastructure solution components using Microsoft SQL Server SSIS and Microsoft Azure Data Factory. A minimum of five (5) years of extensive full-time equivalent experience architecting, designing, developing, testing, deploying and supporting data solutions within the Azure SQL, SQL MI, Azure Synapse, and/or Microsoft Fabric cloud platforms.