1. **Python Proficiency**
- Strong knowledge of Python programming, including frameworks like Flask or Django.
- Experience with data manipulation libraries such as Pandas and NumPy.
2. **Snowflake Experience**
- Proficient in using Snowflake for data warehousing, including data loading, transformation, and querying.
- Familiarity with Snowflake's architecture, storage, and compute concepts.
- Knowledge of SnowSQL or other Snowflake tools for database management.
3. **Azure Expertise**
- Experience with Azure services such as Azure Data Factory, Azure Functions, and Azure Storage.
- Understanding of Azure SQL Database and integration with Snowflake.
- Familiarity with Azure DevOps for CI/CD pipelines.
4. **Data Engineering Skills**
- Experience with ETL processes and data integration strategies.
- Understanding of data modeling and database design principles.
5. **Version Control and Collaboration Tools**
- Proficiency with Git and collaborative tools like GitHub or GitLab.
- Familiarity with Agile methodologies and project management tools.
6. **Problem-Solving and Analytical Skills**
- Strong analytical skills to troubleshoot issues and optimize performance.
- Ability to work with cross-functional teams to deliver data solutions
Any Graduate