Data Warehouse Specialist

Data Warehouse Specialist
Required skills: SSAS, SSIS, Azure Data Warehouse, SSMS, PowerBI
Our client is in the beginning of a very expansive phase of changing technical platform from an on premises solution to an Azure Cloud Solution. Therefore we are looking for a Data Warehouse Specialist who will strengthen their team. They have already moved from SSAS multi-dimensional cubes to tabular models & are in Cloud, but plan to move the rest of the ETL solution & data bases to cloud as well.
We are looking for you who can:
· Participate in the analysis & understanding of business requirements & assure that the solution meets both business & IT requirements, as well as translating business requirements into technical solutions
· Responsible for designing & develop ETL & cube solution
· Responsible for designing, developing & setup of integrations to a full data warehouse solution
· You will be part of a product team & interact with several surrounding stakeholders, within both business & IT
· Responsible for both short term & long-term solution of the platform & system
· Take part in the development of architectural guidelines & standards together with the Product Area Lead Engineer
· Support, job monitoring
Competences
We believe you are a social, open, communicative sales-minded & ambitious team player full of drive & optimism.
And your skills include:
· Experience in Azure Data Warehouse
· Experience with version control workflows with Git
· Several years of experience developing data warehouses & designing Business Intelligence solutions, preferably in the Microsoft-suite or Data Warehouse appliances
· The ability to understand & work on both strategic & detailed level
· The ability to interact with multiple stakeholders
· You have experience working in agile teams, using tools such as JIRA
· Excellent communication skills in English, Swedish is a plus
· Experience of Scrum Master role or equivalent is a plus
· Power BI is a plus
Tools used:
· The solution is built on Microsoft BI Technology using: SSIS, SSMS, SSAS, Azure Data Warehouse