Data Engineer

Duties and responsibilities include, but are not limited to: - Exhibits a degree of ingenuity, creativity, and resourcefulness when collecting, and processing data for analysis while working as part of an Agile scrum team - Applies and/or develops workflows that clean, transform and aggregate unorganized data into databases or data sources - Responsible for collecting, ingesting, processing, and storing large datasets from a wide variety of data sources and stakeholders - Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases - Collaborate with data architects and data analysts to develop solutions across the entire data processing pipeline Basic Qualifications • US Citizenship  • Demonstrated experience with databases (SAP HANA, SQL server, Oracle, etc.) and database connectivity (ODBC, JDBC, data virtualization, etc. • Demonstrated experience with developing data warehouse solutions (Hana calculation views, table functions, stored procedures, etc • Demonstrated experience with Extract Transform and Load (ETL) tools such as SAP Data Services, Informatica, NiFi, SQL Server Integration Services, or equivalents • Proficiency with languages/tools such as SQL, Java, and/or GIT • Understanding of/experience with open-source tools and CI/CD best practices • Ability to implement technical strategy • Familiarity with AWS/Cloud Technologies • Hands-on experience working with visualization tools such as Business Objects, Tableau, or others. • Knowledge of various data processing architectural design patterns • Excellent written and verbal communication skills to assist in understanding and managing internal customer requirements • Strong business process knowledge – understanding of the business acumen, processes, and functional tools. • Apply best practices for modeling data for analysis and advanced analytics use cases and coach other team members to learn these best practices • Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education Desired skills • Expertise in developing data warehouse solutions • Experience with Enterprise Resource Planning (ERP), Product Lifecycle Management (PLM), and/or Manufacturing Execution System (MES) or other systems and processes • Experience with middleware tools such as SAP Process Integration, Red Hat Fuse, MuleSoft, etc. • Experience with real time and batch data integration via REST API, Web Services, and/or message queues with various data formats like XML and JSON. • Experience with data catalog and business glossary platforms such as Colli braExperience with DevSecOps and the Agile Framework