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

Pdi Data Engineer Interview Guide

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


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

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

Overview

Pdi 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.

Pdi 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

Pdi Data Engineer Interview Questions

DESCRIPTION Driven by a commitment to research, quality, and service, PDI provides innovative products, educational resources, training, and support to prevent infection transmission and promote health and wellness. Encompassing three areas, our Healthcare, Sani Professional and Contract manufacturing divisions, we develop, manufacture, and distribute leading edge products for North America and the world. We have several locations across the US and are looking for new Associates to join our team! POSITION PURPOSE The R&D Manager, Packaging and Sustainability will focus on advancing PDI's strategic objectives to deliver innovative and sustainable product to our customers. This will include leading a high performing team of engineers and developing packaging and sustainability roadmaps. ESSENTIAL FUNCTIONS AND BASIC DUTIES ESSENTIAL FUNCTIONS AND BASIC DUTIES Responsibilities include leading the design, development and execution of packaging R&D programs and the execution of our R&D sustainability goals. It includes providing leadership to direct reports and cross functional team members to ensure product development programs are executed timely, compliant and meet the high standards aligned with PDI's mission.The position will also assist in the implementation of an organizational structure that supports successful delivery of innovation. <ul><li>Acts as subject matter expert for packaging and ensure technical and business requirements are managed and met. </li><li>Provides input to program strategies, budgets, timelines, and project/product development plans. </li><li>Build cross-functional relationships to integrate R&D environmental sustainability initiatives into business practices; manage R&D related data and support reporting requirements. </li></ul>Leadership and Management <ul> <li>Reinforces PDI's culture and values, and drives change where needed to increase alignment with those goals. </li><li>Identifies departmental needs and assist with recruits/hires/promotes personnel as appropriate. </li><li>Develops staff through coaching, training, and other relevant experiences. Builds high performance teams. </li><li>Guides the reallocation of roles and responsibilities across team members to facilitate both goal achievement and personal development. </li></ul>Project Management <ul><li>Operates effectively in a multi-tasking, cross-functional environment, including managing network external collaborators and experts. </li><li>Analyzes and provides clear direction in areas of ambiguity or uncertainty, maintaining momentum and achieving alignment with cross-functional partners in these areas. </li><li>Demonstrates intellectual agility to work effectively and efficiently in the ever-evolving sustainability space, exhibiting the ability to identify and assess opportunities for prudent risk taking. </li><li>Develops appropriately proactive resource plans and utilizes staff and other resources effectively to meet area/partners' needs. Uses appropriate tools to regularly review, measure, modify, and adjust plans and to monitor the efficiency, effectiveness and balance of resources according to evolving business needs and environment. </li></ul>PERFORMANCE MEASUREMENTS <ol> <li>Meet key PDI business targets for packaging and sustainability. </li><li>Support, recruit, develop and retain an effective team, act as a model for the R&D organization </li></ol> QUALIFICATIONS EDUCATION/CERTIFICATION<ul><li>Minimum of a bachelor's degree in Packaging Design or Engineering with a focus in Packaging materials and sustainability or equivalent experience </li></ul>REQUIRED KNOWLEDGE<ul><li>Knowledge of MS Office, TOPS or Cape, SolidWorks or Creo, AutoCAD, Adobe, and Minitab is preferred. </li><li>Technical knowledge of regulated products and packaging; FDA or EPA Regulated Environment </li><li>Familiar with laws and regulations on sustainability </li></ul>EXPERIENCE REQUIRED<ul><li>7+ years of relevant experience in packaging development and R&D support, with a demonstrated track record of successful product launches and scientific responsibilities </li><li>Previous experience in wipes packaging advantageous </li></ul>SKILLS/ABILITIES<ul><li>Excellent written and verbal communication skills. Capable of influencing opinion and sharing technical information and best practices through effective presentations to internal and external audiences </li><li>Excellent Project Management skills </li><li>Expert knowledge and strong experience in packaging as well as product development and life-cycle management </li><li>Experience in leading a team of engineers of various experiences </li></ul>WORKING CONDITIONS<ul><li>About 20% Lab and 80% office environment </li></ul>SALARY RANGE<ul><li>$120,000 - $140,000 </li></ul>BENEFITS PDI is pleased to offer comprehensive and affordable benefits for our associates, which includes:<ul><li>Medical, behavioral & prescription drug coverage </li><li>Health Savings Account (HSA) </li><li>Dental </li><li>Vision </li><li>401(k) savings plan with company match and profit sharing </li><li>Basic and supplemental Life and AD&D insurance </li><li>Flexible Spending Accounts (FSAs) </li><li>Short & long-term disability </li><li>Employee Assistance Program (EAP) </li><li>Health Advocacy Program </li></ul> PDI also offers many voluntary benefits such as: Legal services, critical illness, hospital indemnity, accident coverage, ID theft and fraud protection, pet insurance and employee discounts. At PDI, we are also committed to helping our associates maintain a healthy and sustainable work/life balance and are proud to provide associates with paid time off programs including:sick & safe leave, vacation, company & floating holidays, paid parental leave, and depending on the position we also offer summer hours and flex place/flex time options. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

We are seeking a skilled Data Engineer to join the Data team at our client in the Insurance industry. This role is crucial to driving the success of the Data Strategy, ensuring that their data infrastructure is robust, reliable, and scalable to support company's rapid growth and commitment to excellence. As a Data Engineer, you will maintain and update the data pipelines and data warehouse, supporting Insight and Analytics with table creation, business logic, and stakeholder management. Working closely with the Head of Data, you will play a crucial role in enhancing data quality and building trust in the data platform, ensuring company’s data infrastructure is future ready. Key Responsibilities <ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines within Microsoft Fabric using tools like Azure Data Factory, Dataflows, Power Query, and Synapse Pipelines. </li><li>Data Modelling: Create high performance data models in Synapse and Power BI for effective reporting and analytics. </li><li>Data Integration: Consolidate diverse data sources into a unified data platform, applying Lakehouse architecture principles. </li><li>Data Transformation: Develop complex data transformations using SQL, PySpark, and other tools within Microsoft Fabric. </li><li>Collaboration: Partner with data analysts and business stakeholders to deliver technical solutions aligned with data requirements. </li><li>Performance Optimisation: Monitor and optimize data pipelines, queries, and storage layers for performance and cost efficiency. </li><li>Security and Compliance: Implement best practices for data security and ensure compliance with policies and regulations such as GDPR and HIPAA. </li></ul> Experience and Qualifications <ul><li>Proficiency in Azure Data Factory, Power Query, Dataflows, and Synapse Pipelines. </li><li>Advanced understanding of data warehousing (e.g., star schema) and experience with data model design in Synapse and Power BI. </li><li>Skilled in SQL, Python, and PySpark for data transformation and querying. </li><li>Extensive ETL/ELT experience, including batch and streaming processes in Fabric tools. </li><li>Proven ability to optimise data pipelines, ETL jobs, and queries for efficiency and cost effectiveness. </li><li>Preferred knowledge of Azure Data Lake, Azure SQL Database, Synapse SQL pools, and Delta Lake. </li><li>Industry experience in insurance, particularly broking (preferred). </li><li>Bachelor's or master's degree in computer science, Information Technology, or a related field (preferred). </li></ul> This is a full-time role UK based with occasional travel to the London office.

Castleton Commodities International, a leading global energy commodities merchant and investor, seeks a Data Engineer. This crucial role involves integrating new data management platforms, constructing data ingestion pipelines, and collaborating with global Risk and commercial investing teams. The successful candidate will contribute significantly to the firm's investment platform, supporting its mission to generate strong risk-adjusted returns through proprietary capital deployment.
In this role you can expect to have the responsibilities:

Execute data architecture and management projects for new and existing data sources
Transition data sets, databases, and code to a new technology stack
Lead data set analysis using techniques including machine learning
Manage data ingestion process and publishing to investment teams
Map, standardize, and normalize data
Conduct research on vendor trends and best practices
Create workflows to manage data loads and perform quality analysis
Manage vendor relationships and data input changes
Prioritize and resolve data issues based on business usage
Assist with big data projects for the commercial business
Partner with commercial teams to understand data flow and gather requirements
Identify and remediate gaps in current datasets
This role comes with the following benefits:

Comprehensive medical, dental, retirement, and life insurance
Employee assistance & wellness programs
Parental and family leave policies
Volunteering opportunities through charity committees
Charitable contribution match program
Tuition assistance & reimbursement
Quarterly Innovation & Collaboration Awards
Employee discount program including fitness facilities
Competitive paid time off
Continued learning opportunities
This role requires you to have:

Bachelor’s degree in Computer Science, Mathematics, Physics, Business Intelligence, or related field
5+ years in SQL programming, data architecture, and dimension modeling
Passion for data architecture, analytics, management, and programming
Experience in energy commodities or financial services
Experience in mapping, standardizing, and normalizing data
Experience with data integration platforms, SnapLogic preferred
Experience with ETL/ELT frameworks
Advanced skills in writing optimized SQL code
Experience with Snowflake or Oracle
Python experience with Pandas, Numpy, and Scikit
Ability to communicate with technical and non-technical users
Team player with the ability to manage changing projects and priorities
Strong analytical skills with attention to detail
You would benefit from having:

Familiarity with Power BI and Tableau
Interest or experience in machine learning/Artificial Intelligence

#J-18808-Ljbffr

The Detroit Tigers, a part of Major League Baseball (MLB), are seeking a Cloud Data Engineer for their Baseball Systems. This role focuses on the design, management, and automation of data processes to enhance Baseball Operations. The candidate will work closely with the Director of Baseball Systems.
In this role you can expect to have the responsibilities:

Design, implement, and maintain data architecture and processing pipelines at scale.
Develop and use data quality assurance frameworks to identify inconsistent data patterns.
Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices.
Work with external data vendors to address data quality issues.
Automate and execute test cases in data pipelines and manage data issue tracking.
This role comes with the following benefits:

Equal Employment Opportunity employer
This role requires you to have:

2+ years in data engineering using SQL and Python.
Familiarity with cloud computing and services, preferably Azure.
Experience with cloud-based data lakes and data warehouses.
Proficiency with Apache Spark, ideally on Azure Databricks.
Knowledge of continuous integration, regression testing, and versioning strategies.
Experience with SQL data warehouses for data science and analytics.
Understanding of data quality frameworks and best practices.
Familiarity with baseball and current baseball research.
You would benefit from having:

Familiarity with Airflow.
Effective communication skills for explaining technical concepts.
SQL administrative skills (T-SQL preferred).
Experience with generating reports and visuals on large data sources.
Experience with DevOps practices for CI/CD pipelines.
Experience with containers and container deployment.
Familiarity with open-source data quality frameworks (Great Expectations preferred).
The position may require evening, weekend, and holiday hours. The Detroit Tigers are committed to providing reasonable accommodations for applications during the hiring process.

#J-18808-Ljbffr

Pdi Data Engineer Interview Guide

Overview

Pdi Data Engineer Salary

Pdi Data Engineer Interview Process

Pdi Data Engineer Interview Questions

Pdi Data Engineer Jobs