The Supernal Data Engineer interview guide, interview questions, salary data, and interview experiences.

Supernal Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Supernal? The Supernal Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Supernal Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Supernal.</li>
<li>Practice real Supernal Data Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Supernal Data Engineer interview.


Getting ready for an Data Engineer interview at Supernal? The Supernal Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Supernal Data Engineer roles.
- Gain insights into the Data Engineer interview process at Supernal.
- Practice real Supernal Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Supernal Data Engineer interview.
        

Overview

Supernal Data Engineer Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Python

Machine Learning

Product Metrics

A/B Testing

Analytics

Statistics

Probability

Algorithms

Supernal Data Engineer Interview Process

You’re tasked with designing a database system for Swipe Inc., a company that manages payments for software developers. Swipe manages a set of APIs so developers can abstract payment processes for their web service and transfer control over to Swipe’s APIs to manage payment security and finance handling (contacting credit card providers, etc.)

Your database system should store a collection of API keys with their attributes, as shown in the example below:

<pre tabindex="0" class="chroma"><code>{
 &#34;API_key&#34;:{
 &#34;Transaction_list&#34;:{
 &#34;User_ID&#34;:{
 &#34;Name&#34;:{
 &#34;f_name&#34;: 
 &#34;l_name&#34;: 
 }
 &#34;Card_Details&#34;:{
 &#34;Bank&#34;:
 &#34;Card_No&#34;:
 &#34;Expiry&#34;:
 &#34;CV&#34;:
 } 
 }
 }
 &#34;Curr_balance&#34;:
 }
}
</code></pre>

What are the functional and non-functional requirements for this database?

Determine the requirements for designing a database system to store payment APIs

Swipe Payment API

You are given a dictionary with a key-value of <code>{string: number}</code> where values in the dictionary could be duplicates. You are required to extract the unique values from the dictionary where the value occurred only once.

Return a list of values where they occur only once.

Note: You can return the values in any order.

Input:

<pre tabindex="0" class="chroma"><code>dictionary = {&#34;key1&#34;: 1, &#34;key2&#34;: 1, &#34;key3&#34;: 7, &#34;key4&#34;: 3, &#34;key5&#34;: 4, &#34;key6&#34;: 7}
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>find_unique_values(dictionary) -&gt; [3,4]

#Only 3 and 4 occurred once.
</code></pre>

Dictionary Unique Values

You’re given a dataframe of students named <code>students_df</code>:

<code>students_df</code> table

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Nicole Johnson</td>
<td>20</td>
<td>yellow</td>
<td>95</td>
</tr>

<tr>
<td>Elsa Williams</td>
<td>21</td>
<td>green</td>
<td>82</td>
</tr>

<tr>
<td>John James</td>
<td>20</td>
<td>blue</td>
<td>75</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>
Write a function named <code>grades_colors</code> to select only the rows where the student’s favorite color is green or red and their grade is above 90.

Example:

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

students = {&#34;name&#34; : [&#34;Tim Voss&#34;, &#34;Nicole Johnson&#34;, &#34;Elsa Williams&#34;, &#34;John James&#34;, &#34;Catherine Jones&#34;], &#34;age&#34; : [19, 20, 21, 20, 23], &#34;favorite_color&#34; : [&#34;red&#34;, &#34;yellow&#34;, &#34;green&#34;, &#34;blue&#34;, &#34;green&#34;], &#34;grade&#34; : [91, 95, 82, 75, 93]}

students_df = pd.DataFrame(students)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def grades_colors(students_df) -&gt;
</code></pre>

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>

Write a function to select only the rows where the student's favorite color is green or red and their grade is above 90.

Good Grades and Favorite Colors

Supernal Data Engineer Interview Questions

Responsibilities:<ul><li>Accountable for developing and delivering technological responses to targeted business outcomes.</li><li>Analyze, design, and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise.</li><li>Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with 84.51, where needed.</li><li>Utilize enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses.</li><li>Ensure there is clarity between ongoing projects, escalating when necessary, including direct collaboration with 84.51.</li><li>Leverage innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms.</li><li>Define high-level migration plans to address the gaps between the current and future state.</li><li>Contribute to the development of cost/benefit analysis for leadership to shape sound architectural decisions.</li><li>Analyze technology environments to detect critical deficiencies and recommend solutions for improvement.</li><li>Promote the reuse of data assets, including the management of the data catalog for reference.</li><li>Draft architectural diagrams, interface specifications and other design documents</li><li>Must be able to perform the essential job functions of this position with or without reasonable accommodation.</li><li>This engineer will be responsible for partnering with users of the platform guide them to follow best practices, building new use cases to support the product teams, support & monitor the platform to keep cost low and improve performance. Partner with external vendors Databricks & azure to learn industry best practices and influence teams in MX to leverage the same.</li><li>Demonstrate the company s core values of respect, honesty, integrity, diversity, inclusion, and safety.</li></ul>Qualifications:<ul><li>Bachelor's Degree in computer science, software engineering, or related field</li><li>4+ years experience in the data development and principles including end-to-end design patterns.</li><li>4+ years proven track record of delivering large scale, high quality operational or analytical data systems.</li><li>4+ years successful and applicable experience building complex data solutions that have been successfully delivered to customers.</li><li>Any experience in a minimum of two of the following technical disciplines: data warehousing, big data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management</li><li>Excellent oral/written communication skills</li></ul>Desired:<ul><li>Any experience with SSAS Tabular models, Power BI, Dataflows and DAX</li><li>Any experience with Azure Data Platform stack: Azure Data Lake, Data Factory and Databricks</li><li>Any experience with Python, Spark and SQL</li><li>Any experience with Terraform.</li><li>Any experience with streaming technologies like Kafka, IBM MQ and EventHub</li><li>Any experience with data science solutions or platforms</li><li>Any experience with a variety of SQL, NoSQL, and Big Data Platforms</li><li>Any experience building solutions using elastic architectures (preferably Microsoft Azure and Google Cloud Platform)</li></ul>

Job Title: Data Engineer Location: Hybrid (On-site in Nashville, TN) Salary: Up to $120,000 per year Job Description: We are seeking a highly skilled and experienced Data Engineer to join our dynamic team. This hybrid role will require regular on-site presence in our Nashville, TN office. The ideal candidate will have a strong background in data engineering with over four years of relevant experience, a proficiency in multiple programming languages, and substantial expertise in ETL processes and Snowflake. Key Responsibilities:<ul><li>Design, develop, and maintain robust data pipelines and ETL processes to support data integration, transformation, and loading.</li><li>Optimize and manage data architecture using Snowflake to ensure efficient and secure data storage and access.</li><li>Collaborate with cross-functional teams to understand data requirements and deliver solutions that drive business insights.</li><li>Develop, test, and deploy code in programming languages such as Python, Java, SQL, or Scala to manipulate and process large datasets.</li><li>Implement and manage data workflows in cloud environments (AWS, Azure, GCP) to enhance scalability and performance.</li><li>Integrate data into reporting and visualization tools such as Tableau, Power BI, and SAP to facilitate data-driven decision making.</li><li>Ensure data quality and integrity through rigorous testing, validation, and monitoring of data pipelines.</li><li>Stay current with industry best practices and emerging technologies in data engineering and cloud computing. </li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>4+ years of relevant experience in data engineering, with a strong emphasis on ETL processes and Snowflake.</li><li>Proficiency in programming languages such as Python, Java, SQL, or Scala.</li><li>Experience with cloud-based data platforms like AWS, Azure, or GCP is highly desirable.</li><li>Familiarity with data integration into reporting platforms such as Tableau, Power BI, and SAP.</li><li>Strong analytical and problem-solving skills with a keen attention to detail.</li><li>Excellent communication and teamwork abilities.</li><li>Ability to work in a hybrid environment, with regular on-site presence in Nashville, TN.</li></ul>

Job role : Snowflake Secanalytic Data EngineerLocation : Fort WorthJob Type: Contract Description:<ul><li>We are seeking a talented and passionate Cybersecurity Snowflake Secanalytic Data Engineer to join our dynamic team. </li><li>In this role, you will play a crucial part in ensuring the security and integrity of our data infrastructure while leveraging the power of Snowflake's cloud data warehouse. </li><li>If you thrive in a fast-paced environment, have a strong background in cybersecurity, and love working with cutting-edge technologies, we'd love to hear from you! </li><li>## Responsibilities - Data Security and Compliance: Collaborate with cross-functional teams to design, implement, and maintain robust data security measures.</li><li>Ensure compliance with relevant cybersecurity laws, regulations, and frameworks.</li><li>Snowflake Data Engineering: Develop, optimize, and manage large-scale data analytics solutions using the Snowflake Data Warehouse. </li><li>Leverage your expertise to create efficient data pipelines, ETL processes, and data models.</li><li>Secanalytic Expertise: Serve as the go-to expert on security analytics.</li><li>Analyze data to identify threats, vulnerabilities, and anomalies.</li><li> Implement proactive measures to safeguard our systems and data.</li><li>Collaboration: Work closely with business stakeholders, security teams, and data scientists to align data security strategies with organizational goals.</li><li>Performance Optimization: Continuously monitor and enhance data processing performance. </li><li>Optimize queries, improve data ingestion processes, and fine-tune Snowflake configurations.</li><li>Documentation and Training: Document data engineering processes, best practices, and security protocols. </li><li>Provide training and guidance to team members.</li></ul> ## Qualifications<ul><li>Education: Bachelor's degree in Computer Science, Information Systems, or a related field.</li><li>Advanced degrees or certifications (e.g., CISSP, CISM, SnowPro) are a plus. – </li><li>Experience: - Minimum of 3 years in data engineering, with a focus on Snowflake. </li><li>Strong background in cybersecurity and data protection. - Familiarity with secanalytic techniques and tools. – </li></ul> Technical Skills: - Proficiency in SQL, Python, or other relevant programming languages. - Experience with Snowflake Cloud Data Warehouse. - Knowledge of ETL processes, data modeling, and performance optimization. - Soft Skills: - Excellent communication and collaboration abilities. - Analytical mindset with a passion for problem-solving. - Adaptability to evolving security landscapes. Glider Assessment Required?Additional Details Glider Assessment Required? : NoGlider Assessment Name (If Applicable) (drop down) : N/ADoes Contractor Need Their Own Laptop? : YesLaptop Specs : Mac, 32 GB RAM, 1TB

*Candidates must be local to the Washington D.C. metro area and possess work authorization which does not require sponsorship by the employer for a visa. About Infinitive:Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. . We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 6 times most recently in 2023. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” Job Summary:We are seeking a skilled and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and be proficient in using Logstash and Databricks for data processing and analytics. This role is critical in helping us manage and optimize our clients data pipelines, ensuring the availability, reliability, and performance of our data infrastructure. Responsibilities:<ul><li>Design, develop, and maintain data pipelines using Logstash and Databricks to ingest, process, and transform data from various sources.</li><li>Collaborate with data scientists and analysts to understand their data requirements and ensure the data engineering infrastructure can support their needs.</li><li>Optimize data pipelines for efficiency, scalability, and performance to meet business objectives.</li><li>Troubleshoot and resolve issues related to data processing and pipeline failures.</li><li>Ensure data security and compliance with relevant data protection regulations.</li><li>Document data engineering processes and procedures for future reference and knowledge sharing.</li><li>Stay up-to-date with the latest trends and best practices in data engineering and cloud-based data processing technologies.</li></ul> Requirements:<ul><li>Bachelor's degree in computer science, information technology, or a related field. A master's degree is a plus.</li><li>Proven experience as a data engineer with a focus on data processing and integration.</li><li>Strong knowledge and hands-on experience with Elasticsearch.</li><li>Proficiency in Databricks for data analytics, ETL, and data engineering.</li><li>Familiarity with big data technologies such as Apache Spark is a plus.</li><li>Solid understanding of data warehousing concepts and relational databases.</li><li>Strong programming skills in languages such as Python, Java, or Scala.</li><li>Knowledge of data modeling and data warehouse design principles.</li><li>Excellent problem-solving and debugging skills.</li><li>Strong teamwork and communication skills to collaborate effectively with cross-functional teams.</li></ul>Preferred Qualifications:<ul><li>AWS Certified Data Analytics - Specialty or relevant certifications.</li><li>Experience working with data streaming technologies like Apache Kafka or Amazon Kinesis.</li><li>Knowledge of DevOps practices for CI/CD pipelines.</li><li>Familiarity with data governance and data quality best practices.</li><li>Experience with version control systems like Git.</li></ul> Infinitive is an Equal Opportunity Employer.

Supernal Data Engineer Interview Guide

Overview

Supernal Data Engineer Salary

Supernal Data Engineer Interview Process

Supernal Data Engineer Interview Questions

Supernal Data Engineer Jobs