Data Warehouse Engineer III

About the ROLE Each day at AssuranceAmerica is different, but as a Data Warehouse Engineer III in Information Technology, you will: - Assist with research, recommendations, and implementation of newer Azure / Cloud based technologies to replace legacy data warehouse systems and processes - Assist with research, recommendations, and implementation of newer Azure / Cloud based technologies to replace legacy data warehouse systems and processes including: SQL Server on Azure Cloud, Azure DevOps, Microsoft Fabric, Data Warehouse, Lakehouse and Onelake, Azure Data Factory - Develop ETL packages or pipelines for translation and movement of data between vendor systems and the Data Warehouse. - Build, extend and maintain SSAS OLAP cubes. - Proactively communicate directly with business representatives to extract requirements and review work in progress. - Assist in monitoring production jobs, correcting failures, troubleshooting and solving problems - Manage break/fix events and drive solutions to correct and prevent recurring issues - Monitor and improve overall health of the data warehouse environment - Communicate data warehouse related issues, changes and outages to department manager and end-user community - Recommend standards, procedures, and policies that help both the internal group as well as other operations and customer groups - Organize work schedule to achieve timely processing of all responsibilities - Identify opportunities to improve the Business - Demonstrate a proactive and self-motivated approach to learning new technologies and techniques to enhance development skills. Job Qualifications Formal Education & Certification Requires a 4 year degree in a related technical area or equivalent experience Knowledge & Experience - 7+ years of experience as a SQL / Data Warehouse Developer, Engineer, Architect in a SQL Server or equivalent relational database environment. - Strong knowledge of and experience with SQL (candidates will be tested). - Must be able to create and optimize stored procedures, functions, and/or pipelines for ETL development. - Experience with SSRS (or equivalent reporting tools). - Ability to design, develop, tune, and maintain OLAP cubes using Microsoft SSAS is strongly preferred. Experience with Azure Cloud and Microsoft Fabric is preferred. - Understanding data modeling, dimensional warehouse design, and the Kimball method is a plus. Skills & Competencies - Ability to work in a fast-paced automated production environment. - Auto insurance experience preferred. - Good oral and written communications skills. - Well-developed critical thinking skills. - Works as a team player throughout the company. - Must be professional and maintain an acceptable level of integrity and professionalism. Originally posted on Himalayas