Week 12/34: Data Warehousing with Snowflake for Data Engineering Interviews
Understanding Snowflake's role in data engineering and use cases
Snowflake is widely used by companies especially enterprises to power their data warehouses and analytics workloads. Big names like Canva, Adobe, Allianz, Afterpay, and Xero leverage Snowflake, and you may come across roles that require Snowflake expertise in your data engineering career.
In this post, we’ll cover:
What Snowflake is and how it works
It’s architecture and key components
Learning resources to get started
22 Snowflake interview questions we've been asked, have asked or witnessed.
Since this post focuses on data engineering interviews, we assume you are familiar with Snowflake. If you're new to it, we highly recommend checking out Snowflake University’s free training to build a solid foundation before diving in.
The reason we recommend this training is that it provides:
Hands-on Learning: Get practical experience with a free Snowflake trial.
Structured Learning: Six comprehensive courses covering key Snowflake concepts.
Earn Free Badges: Each course comes with a verified badge that you can add to your LinkedIn profile.
Certification Prep: Helps you prepare for the SnowPro Core Certification.
For more details, check out: Snowflake University
For the previous posts of this series, check here: [Data Engineering Interview Preparation Series]1
What is a Data Warehouse?
