Lead Data Engineer

About the role

In this role you will engineer, develop, and support the complete lifecycle of the Enterprise Data Archival and Electronic Data Conversion service, Caregiver Training, Data Warehouse, and a variety of Azure Services for ETL/ELT processes. The successful candidate will possess a strong understanding of Azure Data Services, Data Analysis, and ability to articulate findings and recommendations to stakeholders .

What you'll do

• Lead Data Engineer, Enterprise Platform and Technology Services - LES Data Team
• Engineer, develop, and support the complete lifecycle of the Enterprise Data Archival and Electronic Data Conversion service, Caregiver Training, Data Warehouse
• What will you be responsible for?
• Integrate unstructured data from multiple systems to create a single source of truth
• Develop, monitor, and manage report curation and data modeling

What you need

• 6–9 years in data science & ai
• SQL
• Python
• Data warehousing
• ETL
• Databricks
• Data modelling
• B.Tech or B.E. or B.Sc or BCA or BBA

Good to have

• Azure Data Factory
• AWS
• Spark
• Azure
• C#
• REST APIs