A qualified applicant's experience must include the following skills: 5 years of experience performing data engineering, warehousing, publishing and visualization throughout the full data lifecycle; 3 years of experience performing data profiling, cataloguing and mapping to enable the design and build of technical data flows; 3 years of experience defining ETL architecture and ETL process design; 3 years of experience performing end-to-end implementation of data warehousing analytics solutions built on MS or Azure platforms; 4 years of experience working with Azure; and 3 years of experience using DPM specific tooling including: Spark, Python, Databricks, Azure Synapse, SQL Server, Azure Data Lake, and/or Azure Data Factory (ADF). The position requires at least a bachelor’s degree, or its foreign equivalent, in Computer Science, Mechanical Engineering, Applied Mathematics, Statistics, or Machine Learning, or a closely related field, and at least five (5) years of experience as an Azure Data Engineer, or in a similar role in a technology or consulting environment.