Design, develop, and maintain scalable data pipelines using Snowflake.
Implement ETL/ELT processes to ingest data from various sources (e.g., APIs, databases, flat files).
Optimize Snowflake performance using best practices (e.g., clustering keys, caching, virtual warehouse sizing).
Design and develop data models (star/snowflake schema) that support business intelligence and analytics needs.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
Implement data quality checks, monitoring, and alerting for data pipelines.
Use tools such as dbt, Apache Airflow, Matillion, or other orchestration tools for workflow management.
Secure data access via role-based access control (RBAC) within Snowflake.
Monitor usage, costs, and performance of Snowflake and optimize resource utilization
