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