Description

Data Storage and Preparation - 35%

  • The candidate must demonstrate their experience with Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse structures in real world implementations

Data Pipelines - 35%

  • The candidate must demonstrate their experience with automating data pipelines using appropriate Microsoft Azure Platform/Technologies (SQL, Python, Databricks and Azure Data Factory)

Data Analytics - 15%

  • The candidate must demonstrate their experience with Power BI reports and dashboards

Knowledge Transfer - 15%

  • The candidate must demonstrate experience in conducting knowledge transfer sessions and building documentation for technical staff related to architecting, designing, and implementing end to end analytics solutions

Must haves:

  • Azure Databricks
  • Python,Azure Data Factory , Power BI

Education

Any Graduate