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

ChenMed Data Engineer Interview Guide

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


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

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

Overview

ChenMed 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

ChenMed 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 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

ChenMed Data Engineer Interview Questions

Principal Data Engineer Fidelity Investments is looking for a Principal Data Engineer to join the Universal Identification team within the Data Architecture and Engineering business unit based in Westlake TX. We are looking for candidates with a bachelors degree and 8+ years of related experience in data engineering and analytics or a masters degree and at least 8 years of relevant experience. The Team: You will be part of the UID team responsible for developing the process of universal identification for Fidelity customers. The goal is to ensure we create a world class experience for our customers that is built on trust and security. Enabling a Universal Identification process across the enterprise will allow Fidelity to understand and connect multiple customer relationships via a single identifier. We are energized and motivated by having a job that allows us to contribute daily to Fidelitys belief that our greatest asset is our people! The Expertise You Have: -Crafted and implemented operational data stores and or data warehouses in multi-site High Availability environments. Recent Snowflake experience is required. MDM experience is a plus. -Strong problem solving and proven data analytical skills -Proven expertise in Data Modeling, Data Profiling, Data Analysis, Data Quality, Data Governance and Data Lineage. -Experience migrating databases/warehouses from On Prem to AWS Cloud -Prior experience designing data processing pipelines and resilient messaging services -Data modeling skills and familiarity with BI reporting tools -SQL specialist; ETL background and experience with schedulers a must -Solid experience with AWS event streaming/Kafka -Ability to elicit and document process models and data models in support of defined use cases -Experience or certification in Cloud-based (AWS, Azure) Architecture, Security and Data certification a plus -Demonstrated ability to lead, mentor, influence and partner with architects, engineers, and product teams to deliver scalable robust application solutions -Ability to manage vendor relationships and drive issues to a timely resolution -Excellent interpersonal skills (written, oral, influencing) The Skills You Bring -A proven foundation in data engineering bachelors degree + preferred, 8+ years experience -Hands-on experience with large Cloud-based implementations (AWS, Azure). -Experience with cloud-based NoSQL database and Relational databases and business intelligence tools -Strong background in data field and critical thinking skills to design end-to-end solutions -Experience and comfort working in an agile environment (Scrum and Kanban) -Excellent communication and influencing skills to facilitate collaboration across technology and business partners without having a direct authority over people -Demonstrated experience in mentoring and guiding software engineers in an agile environment The Value You Deliver: -Collaborating in an autonomous team, owning all aspects of delivery (Coding, Quality, DevSecOps) -Team player developing/deploying software in a fast-paced and highly flexible environment -Continued focus on improving test coverage, release velocity and production health -Working with global Agile teams and will contribute to enhancing engineering practices -Exercising operational expertise in a team, targeting Engineering and DevOps excellence -Forever learning and growing your skillsets to be an active contributor to a well-rounded team -Automating yourself out of todays job so that you can move on to the next big challenge Company Overview: Fidelity TalentSource, formerly Veritude, is the in-house temporary staffing provider for Fidelity Investments, one of the largest and most diversified global financial services firms in the industry. We recruit individuals from a variety of backgrounds, including technology and customer service, to fill assignments across Fidelitys U.S.-based regional and investor center locations. If you would like to experience Fidelitys diverse and inclusive workplace while expanding your skillset and developing your professional network, consider a role with Fidelity TalentSource. For information about working at Fidelity TalentSource, visit FTSJobs.com. Fidelity TalentSource will reasonably accommodate applicants with disabilities who need adjustments in order to complete the application or interview process. Please email us at <div class="email-hijack" style="display: inline">HR@ftsjobs.com</div> if you would like to request an accommodation. Information about Fidelity Investments: At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. Fidelity Investments and Fidelity TalentSource are equal opportunity employers. Company Overview Fidelity TalentSource is the in-house temporary staffing provider for Fidelity Investments, one of the largest and most diversified global financial services firms in the industry. We welcome individuals from all backgrounds, including technology and customer service, to fill assignments across Fidelitys U.S.-based regional and investor center locations. If you would like to experience Fidelitys supportive and collaborative culture while expanding your skill set and developing your professional network, consider a role with Fidelity TalentSource. Apply today at <div class="anchor-hijack" style="display: inline"><a href="https://www.fidelitytalentsource.com/">FTSJobs.com</a></div>.We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging. Fidelity TalentSource will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, please contact our HR team at <div class="anchor-hijack" style="display: inline"><a href="mailto:HR@ftsjobs.com">HR@ ftsjobs.com</a></div>. Information about Fidelity investments At Fidelity Investments, our customers are at the heart of everything we do. As a privately held company with a rich 75-year history, our mission has remained the same since our founding: to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients money. For information about working at Fidelity, visit <div class="anchor-hijack" style="display: inline"><a href="FidelityCareers.com">FidelityCareers.com</a></div>.Fidelity Investments and Fidelity TalentSource are equal opportunity employers.

ChenMed Data Engineer Interview Guide

Overview

ChenMed Data Engineer Salary

ChenMed Data Engineer Interview Process

ChenMed Data Engineer Interview Questions

ChenMed Data Engineer Jobs