Data Warehouse Engineer III

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.

Requires a 4 year degree in a related technical area or equivalent 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.

• 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