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)
4.0 Year(s) To 6.0 Year(s)
10.00 LPA TO 18.00 LPA
Responsibilities:
Production pipeline development/deployment.
DevOps tools.
Automation/Orchestration.
Release management.
Model Testing.
Environment Security.
Performance Testing.
Data governance.
Design the data pipelines and engineering infrastructure
Take offline models data scientists to build and turn them into a real machine learning production system.
Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our client's machine learning systems.
Apply software engineering ...