- Design, develop, and implement data warehouse solutions using Snowflake Cloud Data Platform.

- Collaborate with business analysts and data architects to understand data requirements and translate them into scalable Snowflake models.

- Develop and optimize ETL/ELT pipelines for data extraction, transformation, and loading from multiple sources using tools like Informatica, Talend, Azure Data Factory, or dbt.

- Implement data sharing, cloning, and time -travel features in Snowflake to meet business and compliance needs.

- Create and manage Snowflake schemas, tables, views, and stored procedures to support analytical workloads.

- Ensure data security, access control, and role -based permissions within the Snowflake setting.

- Monitor and optimize query performance, warehouse sizing,



and resource utilization for cost -effective operations.

- Integrate Snowflake with other platforms such as AWS, Azure, GCP, Power BI, and Tableau for reporting and analytics.

- Conduct data validation, testing, and troubleshooting to ensure data integrity and reliability.

- Collaborate with cross -functional teams to design end -to -end data solutions that support business intelligence and analytics initiatives.

- Maintain technical documentation, including design specifications, data flow diagrams, and standard operating procedures.

- Stay updated with Snowflake releases and new features, proactively suggesting improvements and best practices.