Required Skills and Qualifications :

- Design and architect enterprise-scale Snowflake data platforms and ETL/ELT solutions.

- Expert-level hands-on experience with Snowflake, SQL, ETL/ELT, data warehousing, and data modeling.

- Build highly scalable and optimized pipelines using Snowflake SQL, Streams, Tasks, Snowpipe, Dynamic Tables, and Stored Procedures.

- Strong expertise in ETL tools such as Matillion, Informatica, Talend, dbt, or Azure Data Factory.

- Drive performance tuning, query optimization, cost optimization, security, governance, and data quality in Snowflake.

- Design complex batch and real-time data pipelines integrating cloud, APIs, databases, and enterprise applications.

- Strong knowledge of AWS/Azure/GCP, data lake architecture, CI/CD, Git, and DevOps practices.

- Lead technical architecture, code/design reviews, troubleshooting, and mentor senior data engineers.

- Ability to independently solve complex data engineering and Snowflake architecture problems and provide enterprise-grade solutions.