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Swish Analytics Interview Questions

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Let’s say we have a table with an <code>id</code> and <code>name</code> fields. The table holds over 100 million rows and we want to sample a random row in the table without throttling the database.

Write a query to randomly sample a row from this table.

Input:

<code>big_table</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>

Write a query to randomly sample a row from a big table.

Random SQL Sample

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.

The company has been consistently growing new users in the city from January to March.

What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

Swish Analytics Salaries by Position

Staff Software Engineer Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients. About the team The Software Engineering team is looking for qualified staff software engineers to lead and own the development of a variety of business essential products. A few examples are microservices and apis, data stream processing via Kafka, Kubernetes development and optimization, devtools development like SDKs and CLIs, Database optimization and scaling, observability stack development, cloud cost optimization, and more. Responsibilities: <ul> <li>Be the technical lead and owner for key products of our core backend applications. </li><li>Perform code reviews and provide constructive feedback. </li><li>Find optimizations in current applications, implement best practices, and ensure adherence to coding standards. </li><li>Design and enhance both new and existing services. </li><li>Work with globally distributed data. </li><li>Participate in discussions and create and review architectural diagrams. </li><li>Have a deep understanding of high-traffic, client-facing APIs and networking topology. </li></ul>Qualifications: <ul> <li>8+ years of production software engineering and technical leadership experience. </li><li>A creative mind for solving technically difficult problems in both standard and non-standard ways. </li><li>Hands-on production experience with languages like NodeJS & Python. </li><li>Hands-on production experience with databases, both relational and non-relational. </li><li>Passionate about reliability, high availability, automation, observability, coding standards, and global scale. </li><li>Strong communication skills working with technical and non-technical stakeholders </li><li>You have a BS or higher in CS/CE/SE or relevant experience. </li></ul>Preferred: <ul> <li>Production experience with software engineering at a global level. </li><li>Interest or experience with GO. </li><li>Production experience with stream-processing paradigms like Kafka. </li><li>Production experience with Docker and Kubernetes. </li><li>Familiarity with sports data. </li><li>Production experience working with low latent globally distributed data. </li><li>Production experience developing, deploying and maintaining critical business applications </li><li>Understanding of various observability platforms. </li><li>Knowledge of CI/CD </li></ul> Base salary: $140,000 - 190,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.
About the team
The Software Engineering team is looking for qualified staff software engineers to lead and own the development of a variety of business essential products. A few examples are microservices and apis, data stream processing via Kafka, Kubernetes development and optimization, devtools development like SDKs and CLIs, Database optimization and scaling, observability stack development, cloud cost optimization, and more.
Responsibilities:
Be the technical lead and owner for key products of our core backend applications.
Perform code reviews and provide constructive feedback.
Find optimizations in current applications, implement best practices, and ensure adherence to coding standards.
Design and enhance both new and existing services.
Work with globally distributed data.
Participate in discussions and create and review architectural diagrams.
Have a deep understanding of high-traffic, client-facing APIs and networking topology.
Qualifications:
8+ years of production software engineering and technical leadership experience.
A creative mind for solving technically difficult problems in both standard and non-standard ways.
Hands-on production experience with languages like NodeJS & Python.
Hands-on production experience with databases, both relational and non-relational.
Passionate about reliability, high availability, automation, observability, coding standards, and global scale.
Strong communication skills working with technical and non-technical stakeholders
You have a BS or higher in CS/CE/SE or relevant experience.
Preferred:
Production experience with software engineering at a global level.
Interest or experience with GO.
Production experience with stream-processing paradigms like Kafka.
Production experience with Docker and Kubernetes.
Familiarity with sports data.
Production experience working with low latent globally distributed data.
Production experience developing, deploying and maintaining critical business applications
Understanding of various observability platforms.
Knowledge of CI/CD
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks. Accepted file types: pdf, doc, docx, txt, rtf
Accepted file types: pdf, doc, docx, txt, rtf
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Swish Analytics Interview Questions

Swish Analytics Interview Guides

Swish Analytics Interview Questions

Swish Analytics Salaries by Position

Swish Analytics Opening Jobs