10 Snowflake SQL Interview Questions (Updated 2024)

At Snowflake, SQL is used everywhere across the company from their own SQL dialect which is used by Customer Support and Technical Solutions Engineers, to Spark SQL used by the Data Engineers and Software Engineers to support cloud warehousing at-scale. Because of this, Snowflake almost always asks SQL problems during interviews for Data Science, Data Engineering and Technical Solutions Engineering jobs.

So, if you want to ace the Snowflake SQL Assessment, we've collected 10 Snowflake SQL interview questions to practice, which are similar to commonly asked questions at Snowflake – able to answer them all?

10 Snowflake SQL Interview Questions

SQL Question 1: Marketing Touch Streak

As a Data Analyst on Snowflake's Marketing Analytics team, your objective is to analyze customer relationship management (CRM) data and identify contacts that satisfy two conditions:

1. Contacts who had a marketing touch for three or more consecutive weeks.
2. Contacts who had at least one marketing touch of the type 'trial_request'.

Marketing touches, also known as touch points, represent the interactions or points of contact between a brand and its customers.

Your goal is to generate a list of email addresses for these contacts.

Table:

Example Input:

Table:

Example Input:

Example Output:

Answer:

Try this Snowflake SQL Interview question in an interactive coding environment:

SQL Question 2: Snowflake Data Exchange Product Ratings

Snowflake has a product marketplace and data exchange, with thousands of apps and extra datasets which you can easily buy and integrate into your existing snowflake environment.

Just like any other marketplace, the company lets customers rate the products and datasets on the exchange. Write a SQL query that calculates the average rating (stars) for each Snowflake marketplace product on a monthly basis, ordered by the month and then product id.

We will use the table that consists of the following columns:

• (integer, primary key)
• (integer)
• (date)
• (integer)
• (integer, range between 1 and 5)

Example Input:

Answer:

The above SQL query extracts the month from the and calculates the average for each within that month using a window function. The clause is used to specify the partitioning and ordering of rows for the window function (in this case, based on and month of ). The resulting dataset provides the month, product id, and average product rating for each month.

To solve a similar problem about calculating rates, try this TikTok SQL question on DataLemur's online SQL coding environment:

SQL Question 3: Webinar Popularity

As a Data Analyst on Snowflake's Marketing Analytics team, you're analyzing the CRM to determine what percent of marketing touches were of type "webinar" in April 2022. Round your percentage to the nearest integer.

Did you know? Marketing touches, also known as touch points are the brand's (Snowflake's) point of contact with the customers, from start to finish.

Table:

Example Input:

Example Output:

Answer:

Solve this Snowflake SQL Interview Question go to our interactive coding environment on DataLemur.

SQL Question 4: Product Usage Analysis

Snowflake Inc is a cloud-based data warehousing platform that enables data storage, processing, and analytic solutions compatible with various cloud platforms. As a Data Analyst at Snowflake, your task is to analyze product usage over some time. Each product use is logged in a table.

Example Input:

The table contains information on which user () used what product () at what date () and time ().

Your task is to create an SQL query that gives an output consisting of each product, the number of times it has been used, and the distinct number of users who used it.

Example Output:

Answer:

This PostgreSQL query will group the table by and for each product, it will count the total number of usage logs (representing the number of times the product has been used) and the number of distinct associated with it (representing the distinct number of users who used the product).

To solve a similar problem about calculating rates, solve this SQL interview question from TikTok within DataLemur's interactive SQL code editor:

SQL Question 5: What are the various types of joins used in SQL?

In SQL, a join is used to combine rows from different tables based on a shared key or set of keys, resulting in a single merged table of data.

There are four distinct types of JOINs: , , , and .

(INNER) JOIN: Retrieves records that have matching values in both tables involved in the join.

LEFT (OUTER) JOIN: Retrieves all the records/rows from the left and the matched records/rows from the right table.

RIGHT (OUTER) JOIN: Retrieves all the records/rows from the right and the matched records/rows from the left table.

FULL (OUTER) JOIN: Retrieves all the records where there is a match in either the left or right table.

SQL Question 6: Filter Customers Who Made Purchases Last Month

Company XYZ has a customer record database and you are required to filter out the customers who made purchases last month. The purchases need to be above $500 and the customer needs to be from the United States. You also have to filter customers who have not logged into their accounts in the past year.

Attached below is a sample set of data that comes from the and tables.

Example Input:

Example Input:

Answer:

The SQL query above first joins the table with the table on the column. Next, it filters customers who made purchases in the last month by , specifying that the purchase amount should be greater than $500 using . It also filters by country (United States), and customers who have not logged into their accounts in the past year by comparing the with the date one year ago from the current date.

To practice a related problem on DataLemur's free interactive coding environment, solve this SQL interview question asked by Facebook:

SQL Question 7: What does do?

The operator merges the output of two or more statements into a single result set. The two SELECT statements within the UNION must have the same number of columns and the data types of the columns are all compatible.

For example, if you were a Data Analyst on the marketing analytics team at Snowflake, this statement would return a combined result set of both Snowflake's Google and Facebook ads that have more than 300 impressions:

SQL Question 8: Calculate Click-Through Rates for Ads

You are given two tables, and . The table has information about all the digital ads displayed to users. It includes a unique identifier for each ad (ad_id), the date the ad was shown (ad_date), and the unique identifier of the user (user_id) to whom the ad was shown. The table contains logs of whenever a user clicked on an ad. It also includes a unique identifier for each click (click_id), the date of the click (click_date), and the user's identifier who clicked the ad.

The task is to write a SQL query to calculate the click-through rate (CTR) for all ads shown in the month of October 2022. The CTR is calculated as the number of clicks that an ad gets divided by the number of times the ad was shown, expressed as a percentage.

Example Input:

Example Input:

Answer:

This SQL query first joins the table and table on the ad_id and user_id column by using a left join. Hence, for every ad, if it has been clicked, the click record and display record would be matched. Then, the query will filter out the ads displayed in October 2022 with the WHERE clause. After getting all the appropriate records, the query will calculate the click-through rate (CTR) and present them along with the ad id, number of clicks and the number of times the ad was shown. The count of click_id would result in the number of clicks an ad has, and the count of ad_id gives the number of times the ad is shown. The CTR is calculated based on these counts.

To practice a related SQL problem on DataLemur's free online SQL coding environment, solve this Facebook SQL Interview question:

SQL Question 9: Filter User Records with Specific Email Domain

Snowflake, an organization with numerous users, wants to filter down customer records to find all customers with an email domain of "@snowflake.com". As a data engineer, write a SQL query that filters the user database to return only users with this specific email domain.

Example Input:

Example Output:

Answer:

This PostgreSQL query uses the LIKE operator to compare the 'email' attribute with the pattern '%@snowflake.com'. The percentage sign is a wildcard that matches any sequence of characters in the string. Thus, it returns all user records where the email contains '@snowflake.com'.

To solve another question about calculating rates, try this TikTok SQL question within DataLemur's interactive SQL code editor:

SQL Question 10: What do the SQL commands / do?

The / operator is used to remove to return all rows from the first SELECT statement that are not returned by the second SELECT statement.

Note that is available in PostgreSQL and SQL Server, while MINUS is available in MySQL and Oracle (but don't worry about knowing which DBMS supports which exact commands since Snowflake interviewers aren't trying to trip you up on memorizing SQL syntax).

For a tangible example of in PostgreSQL, suppose you were doing an HR Analytics project for Snowflake, and had access to Snowflake's contractors and employees data. Assume that some employees were previously contractors, and vice versa, and thus would show up in both tables.

You could use operator to find all contractors who never were a employee using this query:

How To Prepare for the Snowflake SQL Interview

The best way to prepare for a Snowflake SQL interview is to practice, practice, practice. In addition to solving the above Snowflake SQL interview questions, you should also solve the 200+ tricky sql questions on DataLemur which come from companies like FAANG (FB, Apple, Amazon, Netflix, Google).

Each problem on DataLemur has hints to guide you, fully explained answers along with a discussion board to see how others solved it and most importantly, there is an online SQL code editor so you can right online code up your SQL query answer and have it executed.

To prep for the Snowflake SQL interview it is also useful to practice interview questions from other tech companies like:

• Databricks SQL questions

• Amazon SQL questions

• NVIDIA SQL questions

• Microsoft SQL questions

In case your SQL query skills are weak, don't worry about going right into solving questions – improve your SQL foundations with this DataLemur SQL Tutorial.

This tutorial covers SQL concepts such as math functions like CEIL()/FLOOR() and SQL joins with practice exercises – both of these come up frequently during SQL job interviews at Snowflake.

Snowflake Data Science Interview Tips

What Do Snowflake Data Science Interviews Cover?

For the Snowflake Data Science Interview, beyond writing SQL queries, the other types of questions which are covered:

• Statistics and Probability Questions
• Python or R Programming Questions
• Open-Ended Data Case Studies
• Machine Learning and Predictive Modeling Questions
• Resume-Based Behavioral Questions

How To Prepare for Snowflake Data Science Interviews?

The best way to prepare for Snowflake Data Science interviews is by reading Ace the Data Science Interview. The book's got:

• 201 Interview Questions from Facebook, Google & startups
• A Crash Course covering Product Analytics, SQL & ML
• Amazing Reviews (900+ 5-star reviews on Amazon)