Database Engineer

Description 

Develop Databricks notebooks to Join, filter, pre-aggregate, and process the files stored in Azure Data Lake storage. Handle data enrichment on raw data using Databricks. Create parameterized notebooks to process facts and dimensions. Implement data transformation or processing logics using Azure Databricks service with PySpark. Design, develop, implement, and maintain applications and systems based on user needs using Azure Cloud, Azure Devops, ADF, Azure Data Bricks, Azure Logic Apps, Azure SQL DB, Azure Synapse, Power BI, SSMS, Visual Studio, Git, Python, SQL, PySpark, Scala, Azure SQL Server, Azure Data Lakes Gen2, Visual Studio Code, Jupiter Notebook, Python, Power Apps, Power Flow, Power Automate, and Power BI. MS in CS, MIS, CIS, Eng (any field), or related with 2 years of experience