What You'll Do:

Design, develop, and implement data solutions using Snowflake Data Platform.
Create and maintain data pipelines, ensuring data integrity, accuracy, and timeliness.
Develop efficient SQL queries, stored procedures, and Snowflake-specific functions.
Perform ETL operations (Extract, Transform, Load) to integrate data from various sources into Snowflake.
Optimize the performance of Snowflake queries and database structures.
Design and maintain data models and schemas to support reporting and analytics needs.
Work closely with data analysts and business users to understand requirements and deliver scalable solutions.
Troubleshoot and resolve issues related to data pipelines, query performance, and data integrity.
Implement data security and governance practices in Snowflake.
Create documentation for data solutions, processes, and best practices.
Stay updated with Snowflakes new features and best practices to continuously improve system performance.

Expertise You'll Bring:

5+ years of experience working with Snowflake Data Platform.
Strong proficiency in SQL, Python and working with large datasets.
Strong proficiency with cloud platforms such as AWS/Azure or Google Cloud.
Experience with ETL tools (e.g., Apache Airflow, Talend, Informatica) and integrating with Snowflake.
Knowledge of data modeling principles (dimensional, star, snowflake schemas).
Hands-on experience with data loading, querying, and performance optimization in Snowflake.
Understanding of data warehousing concepts and best practices.
Strong analytical, problem-solving, and troubleshooting skills.
Ability to work independently and in a collaborative team environment.

Snowflake Developer