Must also have demonstrated experience in the following: Enterprise integration patterns (EIP), data warehouse modeling, ETL processes, and database management; Development and data warehouse requirements gathering, analysis and design; Cloud native Modern Data Engineering projects; Designing, building, and deploying scalable data pipelines; Python, Pyspark and Spark SQL; and Analytical data models such as Kimball. In lieu of a Master's degree in Computer Science, IT/IS, or related field of study and two (2) years of work experience in the job offered or related occupation in which the required experience was gained, employer will accept a Bachelor's degree in Computer Science, IT/IS, or related field of study and five (5) years of experience in the job offered or related occupation in which the required experience was gained.