Data Engineer:"1. Experience of 3 to 5 years 2. Passionate IT professional and urge to make a positive difference, Strong communication skills3. Strong working experience in Implementation of Azure cloud components Azure Data Factory, Azure Data Bricks ,Azure Data Analytics, Azure Data Lake, Azure Data Catalogue4. Strong working knowledge on Azure Data Factory V1 & V2, Pipeline creation and Maintenance, Activities and Visual Studio5. Strong working experience in building scripts using Python , U SQL, PowerShell6. Strong experience in SQL Queries Joins, filters, nested queries, conditional queries7. Strong experience in Python, R, SparkR, PySpark8. Strong experience in Azure cloud services9. Experience in Data visualization10. Should be able to read data from multiple formats Excel, CSV, JSON, Text, and write to database tables11. Experience in Hadoop ecosystem HIVE, SparkSQL12. Experience in ETL 13. Experience in creation of Data pipelines and Data processing pipelines 14. Experience in Healthcare and Pharma domain15. Good to have Tableau, Power BI, Qlikview experience"