BI Developer within Microsoft Azure 3118 views

Background

  • E-mobility future data solution platform is based on azure technology stack, automation, structure, efficiency, scalability and reliability. Data needs to be cleansed and reliable for operational reporting and analysis. Today it requires some manual effort to complete regular task.
  • E-mobility has a single platform for all data sources – single source of truth. A platform that can provide both operational reporting as well as advanced analytical capabilities. A solid governance model is required, platform should be scalable and future proof both in terms of technology as well as automation.
  • Existing platforms solution will be migrated and reports, extracts and logic will to be transferred to Microsoft Azure
  • An agile team is set up to secure this transfer.

 

Assignment

  • The E-mobility DevOps team needs to be strengthened with BI developer competence starting from middle of March 2021 – end of June 2021. The role is 100%. Position will probably be prolonged.
  • As part of the team you will take part in the development cycle (requirement analysis, design, development, test, deployment, hand over).
  • We work together with the business and have an end customer focus.

 

 

Required skills:

  • 3-5 years minimum experience in Azure BI cloud solutions
  • Proficient T-SQL programming, SSAS, SSRS, Azure data factory
  • Knowledge within

o  Installing and maintaining Microsoft database and data warehouse solutions (preferable Synapse)

o  Structured and unstructured modelling

o  Extraction, transformation and loading (ETL)

o  Analytic solutions, creating reports and dashboards in Power BI

  • Experience in Visual studio team services change process, continues integration and delivery (Build, release, package and version management)
  • Experience with all phases of the software development lifecycle (requirements, design, development, testing, deployment, support)
  • Strong understanding of relational database concepts and data modelling
  • Agile way of working
  • Comfortable working in English as English is the language in documentation and in many meetings
  • University degree within Computer science or similar
  • Excellent problem solving and analytical skills
  • Strong communication and collaboration skills
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