Job Description :

- 10- 16 years of hands-on data engineering experience, including a minimum of 6 years dedicated to Snowflake.

- Advanced expertise in Snowflake architecture, implementation, administration, optimization, and troubleshooting.

- Experience with Snowflake Data Sharing and Snowflake Marketplace for accessing, integrating, and managing third-party and shared datasets.

- Strong knowledge of data modeling and Medallion Architecture.

- Proficiency in SQL, Python, and cloud ecosystem workflows.

- Hands-on experience with dbt, Airflow, Azure Data Factory (ADF), or similar orchestration tools.

- Experience integrating REST/SOAP APIs and connecting Snowflake with enterprise platforms (CRM/ERP/SaaS systems).

- Strong exposure to Azure or AWS cloud data services.

- Experience working in the financial domain (preferred but not mandatory).

- Familiarity with CI/CD, Git workflows, automated deployments, and DevOps best practices.

- Strong problem-solving skills, with ability to independently debug and resolve platform issues using Snowflake portal/console.

- Excellent communication skills, self-driven attitude, and ability to work independently with minimal supervision.

- Snowflake Certification (e.g., SnowPro Core or Advanced Data Engineer).