You'll have (Qualification & Experience):
Experience in Databricks, Azure DevOps, Airflow, the data science lifecycle, ML Engineering experience preferred, and Python, SQL.
- Understanding of data pipelines, Python, SQL
- Understanding of infra provision and resolving issues related to cloud services
- Some understanding on MLOPS and model development
- Coordination among teams and customers
- L1, L2, L3 support
- Must be an expert in data analyst, VBA, Macros, Excel
- Must be monitoring and supporting healthcare operations and addressing client queries (this is healthcare-specific)
- Must be good in communications and synapse job monitoring
- Must have good in Python scripting, especially pandas and numpy and ETL pipelines
- Must be able to independently understand the requirements and queries from clients
- Must be good in data analysis.
Good to have
- Azure synapse basics
- Azure Devops basics
- Git
- T-SQL experience
- Sql Server