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Title: Data Engineer / Modeler Location: Madison, WI Major Responsibilities:? Create and maintain Enterprise Analytics Platform (EAP) data models that integrate multiple source systems into a coherent, cohesive catalog of data. Some of those source systems include Oracle/Peoplesoft HR and Finance and Workday. Design, develop and maintain conceptual, logical, and physical data models. Work with analyst team to review business requirements and assess the data model needs to best fulfill those requirements. Advise on exercises like gap analyses or cost/benefit/risk analyses. Understanding of data modeling principles and best practices, including expertise in both relational and dimensional modeling, with a specific focus on the AWS Redshift database Experience migrating legacy applications and data systems to new environments. Ensure data models adhere to design and security standards. Perform data profiling and analysis to ensure the quality of the data models. Collaborate with functional and technical team to integrate model metadata with consumer tools (e.g. Collibra, Tableau Collaborate with development team to ensure models are clear and comprehensive. Provide developers with model and/or data definition language (DDL Support EAP customers/consumers with data model walkthroughs and help queue responses. Minimum Qualifications:? Minimum 3 years experience as a Data Architect, Data Scientist, Data Analyst, Data Engineer, Business Intelligence (BI) Analyst, or similar role. In-depth understanding of database structure principles. Thorough understanding of data modeling principles and best practices, including expertise in both relational and dimensional modeling, with a specific focus on the AWS Redshift database. Strong proficiency in data modeling tools, with expertise in ER Studio. In-depth understanding of data warehousing concepts, data lakes, and AWS cloud-based architecture. Strong understanding of the software development lifecycle (SDLC Familiarity with metadata management principles. Strong understanding of master and reference data management principles. Strong understanding of object-oriented design or domain-driven design. Experience gathering and analyzing data, report, and business requirements. Top Skills & 3 Years of Experience: Experience as a Data Architect, Data Scientist, Data Analyst, Data Engineer, Business Intelligence (BI) Analyst, or similar role. Experience gathering and analyzing data, report, and business requirements. Understanding of data modeling principles and best practices, including expertise in both relational and dimensional modeling, with a specific focus on the AWS Redshift database.