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

Qio Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Qio? The Qio Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Qio Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Qio.</li>
<li>Practice real Qio 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 Qio Data Engineer interview.


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

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

Overview

Qio 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.

Qio Data Engineer Interview Process

Given a table called <code>employees</code>, get the largest salary of any employee by department

Example:

Input:

<code>employees</code> table

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

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

<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
Output:

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

<tbody>
<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>largest_salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Write a query to get the largest salary of any employee by department

Largest Salary by Department

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’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

Qio Data Engineer Interview Questions

About the Role: We are seeking a highly skilled Senior Data Engineer to join our team and play a pivotal role in designing, developing, and maintaining our data infrastructure. This role requires a deep understanding of data engineering principles, big data technologies, and cloud platforms. Key Responsibilities: <ul><li>Data Pipeline Development: </li><li>Design, develop, and deploy robust data pipelines to ingest, process, and transform large volumes of data from various sources. </li><li>Utilize a variety of tools and technologies, such as Apache Spark, Kafka, and SQL, to extract, transform, and load (ETL) data. </li><li>Data Modeling and Architecture: </li><li>Develop and implement data models and schemas that are efficient, scalable, and aligned with business needs. </li><li>Design and maintain data warehouses, data marts, and data lakes. </li><li>Cloud Platform Expertise: </li><li>Leverage cloud platforms like AWS, GCP, or Azure to build and manage data solutions. </li><li>Utilize cloud-native services for data storage, processing, and analytics. </li><li>Data Quality and Monitoring: </li><li>Ensure data quality and consistency through rigorous testing and validation. </li><li>Implement monitoring and alerting systems to proactively identify and resolve data issues. </li><li>Performance Optimization: </li><li>Optimize data pipelines and queries for optimal performance and efficiency. </li><li>Identify and resolve performance bottlenecks. </li><li>Collaboration and Teamwork: </li><li>Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs. </li><li>Work effectively in a cross-functional team environment. </li></ul>Required Skills and Qualifications: <ul><li>Strong proficiency in SQL and Python or Scala. </li><li>Experience with big data technologies such as Hadoop, Spark, Kafka, and Hive. </li><li>Knowledge of cloud platforms (AWS, GCP, or Azure) and their data services. </li><li>Understanding of data warehousing and data lake concepts. </li><li> </li><li>Experience with data modeling and ETL processes. </li><li>Strong problem-solving and analytical skills. </li><li>Excellent communication and collaboration skills. </li></ul>Preferred Qualifications: <ul><li>Experience with data visualization tools like Tableau or Power BI. </li><li>Knowledge of machine learning and AI concepts. </li><li>Certifications in cloud platforms or data engineering. </li></ul>If you're a passionate data engineer who enjoys solving complex data challenges and building scalable data solutions, we encourage you to apply. Data* AND Warehouse* AND ETL AND Model* AND SQL AND Python AND (“Hadoop OR Spark OR Kafka OR Hive) AND Lake* AND (AWS OR Azure OR GCP) AND (ML OR AI OR “Artificial Intelligence” OR “Machine Learning”) AND (Tableau OR “Power BI” OR PowerBi)

Capstone IT is seeking an experienced Lead Data Engineer to join one of clients' Data Platform team to build scalable enterprise data solutions that drive strategic business outcomes. As the Lead Data Engineer, you will partner with Product Owners on strategic initiatives, understand business and functional requirements on projects, provide hands-on technical leadership to the engineering team with project execution and ensure deliverables are delivered with high quality and on time. You will help lead the iterative design and development of our cloud data warehouse. You will be responsible for designing, developing and maintaining data pipelines and data in our data warehouse to support Data Science, Business Intelligence and business operations. You will lead and guide the data engineering team, ensuring adherence to quality, standards, processes, and methodologies. Additionally, you will support the team in overcoming any technical challenges they encounter. Duties & Responsibilities <ul><li>Work closely with Product Manager and business stakeholders and develop a strong business understanding of our clients strategic and project level data needs. </li><li>Work with Product Owners to understand and translate business requirements into technical specifications and logical & physical data model requirements. </li><li>Design and extend data models working closely with Product and Data Architecture. </li><li>Design data pipelines that process both real time and batch data leveraging modern data engineering best practices. </li><li>Build, implement and test data pipelines using Databricks, Azure Data Factory, SSIS and other data integration tools. </li><li>Take technical ownership of projects and ensure deliverables meet scope, quality and timelines. </li><li>Provide technical leadership and guidance to the data engineering team, including mentoring, coaching, and fostering a collaborative work environment between all team members. </li><li>Support team members with troubleshooting and resolving complex technical issues and challenges. </li><li>Implement coding standards, conduct code reviews to ensure proper code quality level. </li><li>Implement effective source code management and CI/CD best practices to ensure data pipelines are automatically tested, integrated and deployed to production. </li><li>Partner with Data Architects to implement effective data integration and storage design patterns. Contribute to continuously improve existing data architecture and frameworks. </li><li>Assist in the development and implementation of data governance and management solutions. </li></ul> Required Experience: <ul><li> Bachelor’s Degree or higher in Computer Science, Engineering, or related field required. </li><li> 10+ years of experience in data engineering and data warehousing. </li><li> 5+ years of cloud data engineering and big data experience . </li></ul> Required Knowledge, Skills And Abilities: <ul><li>Experience with cloud data engineering and data warehouse technologies in Microsoft Azure, Google or AWS. Experience in Azure is highly preferred. </li><li>Strong programming skills in python and SQL for data processing and automation. </li><li>Strong technical skills in big data and Data integration technologies including Spark, Kafka, Databricks, Azure Data Factory, SSIS and SQL. </li><li>Experience with designing and building both cloud and on-prem data warehouses. Experience with Lake house architecture is highly preferred. </li><li>Experience in data modeling for transactional and analytical needs. Experience with NoSQL databases is preferred. </li><li>Development experience in Microsoft SQL Server including experience with tuning queries to optimize performance. </li><li>Skilled in Visual Studio with the use of source control applications such as Azure DevOps. </li><li>Experience with CI/CD and Jenkins. </li><li>In-depth knowledge of data management principles and best practices, including data governance, data security, data quality, and data integration. </li><li>Experience with delivering data solutions iteratively using the Agile Scrum framework and development processes. </li><li>Experience in providing guidance, mentorship, and technical support to a team of data engineers. </li><li>Demonstrated ability to troubleshoot and resolve complex technical issues related to data processing in a cloud big data infrastructure. </li><li>Exceptional analytical and conceptual thinking skills coupled with strong written and verbal communication skills.</li></ul>

Capstone IT is seeking an experienced Senior Data Engineer to join a client in the Kansas City area. This person will be responsible for developing and maintaining data pipelines across multiple platforms and managing our clients data warehouse to support business intelligence and business operations. This role will also assist with defining and implementing our clients future cloud data architecture and technology solutions. Duties & Responsibilities <ul><li>Work closely with business stakeholders to gain an understanding of our clients business and data/reporting needs. </li><li>Work with business teams to understand and translate business requirements into functional specifications and logical & physical data model requirements. </li><li>Create and update data models to support project requirements. </li><li>Build , implement and test data pipelines using SSIS and other data integration tools . </li><li>Collaborate with architect and BI team in the design and build of subject-area specific data marts that supports business analytics needs. </li><li>Take technical ownership of projects and ensure deliverables meet scope, quality and timelines. </li><li>Participate in the assessment of cloud data technologies, and definition of future cloud data architecture through working on proof of concepts. </li><li>Assist with information access and secure management of data. </li><li>Perform optimization of data warehouse queries . </li><li>Manage and optimize daily data warehouse refresh schedules and perform other administrative tasks for efficient operation of the data warehouse. </li><li>Support development of business intelligence reports and dashboards. </li></ul> Education and Experience Requirements: <ul><li>Bachelor’s Degree or higher in Computer Science, Engineering, or related field required . </li><li>8+ years of experience in data engineering concepts. </li><li>5 + years of data engineering experience in SSIS and/or other data integration technologies. </li><li>3+ years of experience with one or more of Power BI, Qlik , Tableau or Looker. </li><li>3 + years of experience designing and building enterprise BI platforms and solutions. </li><li>3+ years with building/using cloud data warehouse and data marts. </li></ul> Required Knowledge, Skills and Abilities: <ul><li>Experienced in Microsoft SQL Server - SSIS and SSRS/Power BI Reporting Server . </li><li>Experience with c loud data engineering and data warehouse technologies in Microsoft Azure, Google or AWS. </li><li>Strong technical skills in data engineering, including proficiency in programming languages and technologies such as SQL, Python, Azure Data Factory, and Azure SQL. </li><li>Experience with data modeling for data warehouse. </li><li>Skilled in Visual Studio with the use of source control applications such as DevOps. </li><li>Experience with CICD Pipelines. </li><li>Familiarity with data management principles and best practices, including data governance, data quality, and data integration.</li></ul>

Swoon is actively seeking an Azure Data Engineer to join the team. US Citizen or Permanent Resident/Green Card Holder are required – (Sponsorship and C2C is NOT available at this time or in the future) What your day-to-day look like? <ul><li>Develop and optimize cloud-based BI solutions in the Azure cloud </li><li>Design, develop, and maintain scalable data pipelines using Data Factory and Databricks leveraging PySpark for data transformations and large-scale processing </li><li>Build and manage ETL pipelines – moving from Oracle to the Azure Cloud </li><li>Utilize Gitbhub for version control and implement best practices </li></ul> Things to Love about this company <ul><li>Team oriented – working with excellent leadership </li><li>Longevity, stability, and career development </li><li>Be a hands-on team player </li></ul> What’s Required? <ul><li>7+ years of experience in data engineering </li><li>Technical expertise in All aspects of Azure including Data Factory, Databricks and Synapse as well as Python and PySpark </li><li>Experience integrating data from on premise Oracle systems to Azure or other cloud-based solutions </li><li>Experience in Lakehouse architecture and data governance </li><li>Version control experience via Gitbhub </li><li>Bachelors degree required </li></ul> What else should you know? Direct-Hire / Full-Time Role – NO Contract Location – Camden, NJ Hybrid Role – 3 days a week on-site US Citizen or Permanent Resident/Green Card Holder are required – (Sponsorship and C2C is NOT available at this time or in the future) What’s Next?Apply Now! -- Email questions to Kathryn.Jackson@swoontech.com

Senior Data EngineerArlington, VA(Onsite)Only Local to Arlington, VAContract What are your top 3 required technical skills?<ol><li>Python/Scala </li><li>Spark, Hadoop platform & tools (Hive, Impala, Nifi, Oozie, Scoop)</li><li> Databricks</li><li>SQL</li></ol>What are a couple of desired/nice to have technical skills?<ol><li>Knowledge of Splunk or other alerting and monitoring solutions.</li><li>Fluent in the use of Git, Jenkins.</li></ol>What soft skills would you like to see in a candidate?<ol><li> Passion for analytical / quantitative problem solving</li><li>Collaboration skills with experience working with people across roles and geographies</li><li>Motivation, creativity, self-direction, and desire to thrive on small project teams</li><li>Strong written and verbal English communication skills</li></ol>

Qio Data Engineer Interview Guide

Overview

Qio Data Engineer Salary

Qio Data Engineer Interview Process

Qio Data Engineer Interview Questions

Qio Data Engineer Jobs