Sr. AI & Data Engineer – Snowflake

About this kind of role

What a Sr. AI & Data Engineer – Snowflake usually does. The employer's own details are in the listing.

Typically does: This role focuses on building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for machine learning models. Responsibilities include designing and implementing scalable data solutions within a Snowflake environment, collaborating with data scientists and other engineers, and optimizing data infrastructure for performance. The engineer will also be involved in automating data processes and troubleshooting data-related issues. This position often requires a deep understanding of data warehousing principles and cloud-based technologies.

Tools and skills: Proficiency in SQL, Python, Snowflake, cloud platforms (e.g., AWS, Azure, GCP), data modeling, ETL processes, and machine learning frameworks is generally expected.

Good fit for: Individuals with strong analytical skills, a passion for data, and experience in building robust and efficient data solutions thrive in this role.