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