Should have valuable analytical skills and experienced in writing SQL queries
Should have hands-on experience in developing Spark applications using Data frame API, PySpark-SQL in Data bricks for data extraction, transformation, and aggregation from multiple file formats for Analyzing & transforming the data using Python to uncover insights into the customer usage patterns.
Should have hands-on experience Extract Transform and Load data from sources Systems (On-prem) to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Spark SQL.
Metadata driven ingestion pipeline framework by using Azure Data Factory
Should have real time experience of implementing spark optimization techniques and adaptive query execution configuration in data bricks.
Involved in conducting the code review and Results with the Developers
Good understanding and real time architecture experience on Azure cloud (ADLS, ADFS, ADF)
Knowledge of using GitHub for code versioning and devops deployment process.
Consume data and generate reports using Power BI
Valuable to have positive exposure to USA Healthcare Insurance domain