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 ...
2 Opening(s)
5.0 Year(s) To 7.0 Year(s)
8.00 LPA TO 16.00 LPA
Responsibilities:
ML model development.
Graph Analytics.
Data/Semantic modeling.
Graph databases.
Research and develop statistical learning models for data analysis.
Collaborate with product management and engineering departments to understand company needs and devise possible solutions.
Keep up-to-date with the latest technology trends.
Communicate results and ideas to key decision makers.
Implement new statistical or other mathematical methodologies as needed for ...