2 Opening(s)
4.0 Year(s) To 8.0 Year(s)
7.00 LPA TO 11.00 LPA
Responsibilities:
Data engineering.
Data pipeline development.
Data quality/governance.
Analyze and organize raw data.
Data preparation for modeling.
Aggregate and clean raw data from different sources.
Explore ways to enhance data quality and reliability.
Collaborate with data scientists and architects on projects
Skill Required:
Solid understanding of SQL Server.
Python.
GitHub.
Azure Data Factory.
Azure Synapse.
Data modeling.
Microsoft Purview.
Insurance industry experience.
Exposure to Sales/Marketing domain.
IMMEDIATE JOINING.
Excellent English ...