- Design, develop, and maintain scalable data pipelines using Snowflake.
- Build and optimize ETL/ELT processes for data integration and transformation.
- Work with large datasets from multiple sources and ensure data quality.
- Develop data models, schemas, and performance tuning strategies in Snowflake.
- Collaborate with business and technical teams to understand data requirements.
- Implement data security, governance, and best practices.
Required Skills:
- Solid experience with Snowflake Data Warehouse.
- Hands-on experience in SQL, Data Modeling, and Performance Optimization.
- Experience with ETL/ELT tools such as Informatica, Matillion, Talend, or Azure Data Factory.
- Knowledge of Python/Shell Scripting.
- Experience with AWS, Azure, or GCP cloud platforms.
- Understanding of Data Warehousing concepts and Agile methodologies.
Nice to Have:
- Snowflake Certification.
- Experience with CI/CD and DevOps practices.
- Knowledge of Power BI, Tableau, or other BI tools.