Pri Global Data Engineer Interview Questions + Guide in 2025

Pri Global is a dynamic organization focused on innovating healthcare solutions that empower individuals and improve the quality of care.

As a Data Engineer at Pri Global, you will play a pivotal role in designing and optimizing data pipelines that support the company's mission to revolutionize health insurance and healthcare services. Your key responsibilities will include developing and maintaining robust data architectures, employing technologies such as Apache Spark and SQL for data processing, and collaborating with cross-functional teams to ensure data integrity and accessibility. A strong proficiency in SQL and experience with big data technologies are essential for transforming complex datasets into actionable insights that align with the company’s commitment to innovation and efficiency.

Ideal candidates will possess analytical problem-solving skills, excellent communication abilities, and a passion for utilizing data to drive meaningful change. Experience in the healthcare or fintech domain will be advantageous, as you will be working on projects that have a direct impact on improving healthcare delivery.

This guide is designed to provide you with insights into the skills and competencies needed for the Data Engineer role at Pri Global, equipping you to confidently navigate the interview process and demonstrate your fit for the organization’s values and objectives.

The interview process for a Data Engineer position at Pri Global is structured to assess both technical and interpersonal skills, ensuring candidates align with the company's innovative culture and technical requirements. The process typically consists of several rounds, each designed to evaluate different aspects of a candidate's qualifications and fit for the role.

1. Initial Screening

The first step in the interview process is a brief phone screening with a recruiter. This initial conversation usually lasts around 30 minutes and focuses on understanding your background, experience, and motivations for applying to Pri Global. The recruiter will also discuss the company culture and the specific expectations for the Data Engineer role, including your salary expectations and availability.

2. Technical Interview

Following the initial screening, candidates typically participate in a technical interview. This round may involve a combination of coding challenges and discussions about data engineering concepts. Expect to demonstrate your proficiency in SQL, Apache Spark, and possibly Python, as well as your ability to design and optimize data pipelines. You may also be asked to solve problems related to data processing and analytics, showcasing your analytical skills and technical knowledge.

3. Techno-Managerial Interview

The next step is a techno-managerial interview, which often includes discussions with a hiring manager or team lead. This round assesses not only your technical expertise but also your ability to collaborate and communicate effectively within a team. You may be asked to provide examples of past projects, discuss how you handle challenges, and explain your approach to working with cross-functional teams. This interview aims to gauge your fit within the company's collaborative environment and your potential contributions to ongoing projects.

4. Final Interview

In some cases, there may be a final interview with senior leadership or other key stakeholders. This round is typically more focused on cultural fit and long-term vision. Candidates may be asked about their career aspirations, how they align with the company's goals, and their thoughts on industry trends. This is also an opportunity for you to ask questions about the company's direction and how you can contribute to its success.

Throughout the interview process, candidates should be prepared to discuss their experiences in data engineering, particularly in relation to big data technologies and data pipeline optimization.

Next, let's explore the types of questions you might encounter during these interviews.

Here are some tips to help you excel in your interview.

Understand the Company’s Vision

Pri Global is focused on transforming health insurance and healthcare. Familiarize yourself with their mission and how your role as a Data Engineer can contribute to this vision. Be prepared to discuss how your skills can help drive change in the industry, particularly in the context of data management and analytics.

Prepare for a Multi-Round Interview Process

Expect a structured interview process that may include multiple rounds. Typically, candidates go through a technical round followed by a techno-managerial round. Be ready to discuss your technical expertise in SQL, Apache Spark, and data pipeline development, as well as your ability to collaborate with cross-functional teams. Practice articulating your past experiences and how they align with the responsibilities of the role.

Showcase Your Technical Proficiency

Given the emphasis on SQL and algorithms, ensure you are well-versed in writing complex SQL queries and understanding data structures. Brush up on your knowledge of big data technologies like Apache Spark and orchestration tools such as Apache NiFi. Be prepared to solve technical problems on the spot, as practical demonstrations of your skills may be part of the interview.

Communicate Effectively

Strong communication skills are essential, especially since you will be collaborating with global teams. Practice explaining complex technical concepts in simple terms. Be ready to discuss how you have effectively communicated with both technical and non-technical stakeholders in previous roles.

Highlight Problem-Solving Abilities

Expect behavioral questions that assess your problem-solving skills. Prepare examples that demonstrate how you have tackled challenges in past projects, particularly those involving data processing and system optimization. Use the STAR (Situation, Task, Action, Result) method to structure your responses.

Be Ready for Cultural Fit Questions

Pri Global values a collaborative and innovative culture. Be prepared to discuss how you work in team settings and your approach to driving innovation. Reflect on past experiences where you contributed to a team’s success or helped implement new ideas.

Stay Professional and Patient

While the interview process may have its challenges, such as delays in communication, maintain professionalism throughout. If you encounter any issues, such as scheduling conflicts or lack of responses, approach them with patience and understanding. This attitude reflects well on your character and can leave a positive impression.

Follow Up Thoughtfully

After your interviews, send a thank-you email to express your appreciation for the opportunity. Use this as a chance to reiterate your enthusiasm for the role and how you can contribute to the team. This small gesture can set you apart from other candidates.

By following these tips, you can position yourself as a strong candidate for the Data Engineer role at Pri Global. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Data Engineer interview at Pri Global. The interview process will likely focus on your technical skills, problem-solving abilities, and how you can contribute to the team and the company's goals in the healthcare sector.

Technical Skills

1. Can you explain how you would design a data pipeline using Apache Spark?

This question assesses your understanding of data pipeline architecture and your ability to implement it using Spark.

How to Answer

Discuss the components of a data pipeline, including data ingestion, processing, and storage. Highlight your experience with Spark and any specific techniques you would use to optimize performance.

Example

“I would start by identifying the data sources and the required transformations. Using Apache Spark, I would implement a structured streaming approach to ingest data in real-time, apply necessary transformations using DataFrames, and finally store the processed data in a data lake for further analysis.”

2. How do you optimize SQL queries for performance?

This question evaluates your SQL skills and your ability to enhance query efficiency.

How to Answer

Mention techniques such as indexing, query rewriting, and analyzing execution plans. Provide examples from your past experiences where you successfully optimized queries.

Example

“I typically start by analyzing the execution plan to identify bottlenecks. For instance, I once optimized a complex join query by creating appropriate indexes and rewriting it to reduce the number of rows processed, which improved the execution time by over 50%.”

3. Describe your experience with data orchestration tools like Apache NiFi.

This question gauges your familiarity with data flow management and orchestration.

How to Answer

Discuss your experience with NiFi or similar tools, focusing on how you have used them to automate data workflows and ensure data quality.

Example

“In my previous role, I used Apache NiFi to automate the ingestion of data from various sources. I set up processors to handle data transformation and routing, which significantly reduced manual intervention and improved data accuracy.”

4. What strategies do you use for troubleshooting data processing issues?

This question tests your problem-solving skills and your approach to debugging.

How to Answer

Explain your systematic approach to identifying and resolving issues, including logging, monitoring, and testing.

Example

“When troubleshooting data processing issues, I first check the logs for any error messages. I then replicate the issue in a controlled environment to understand the root cause. For instance, I once resolved a data loss issue by identifying a misconfigured data source in the pipeline.”

5. How do you ensure data quality and integrity in your projects?

This question assesses your understanding of data governance and quality assurance.

How to Answer

Discuss the methods you use to validate data, such as data profiling, validation rules, and automated testing.

Example

“I implement data validation checks at various stages of the pipeline. For example, I use data profiling to assess the quality of incoming data and set up automated tests to ensure that the transformations maintain data integrity.”

Behavioral Questions

1. Describe a time when you had to work under pressure to meet a deadline.

This question evaluates your ability to handle stress and manage time effectively.

How to Answer

Share a specific example that highlights your time management skills and how you prioritized tasks to meet the deadline.

Example

“During a critical project, we faced a tight deadline due to unexpected changes in requirements. I prioritized tasks by focusing on the most impactful features first and coordinated closely with my team to ensure we met the deadline without compromising quality.”

2. How do you handle conflicts within a team?

This question assesses your interpersonal skills and ability to work collaboratively.

How to Answer

Discuss your approach to conflict resolution, emphasizing communication and collaboration.

Example

“When conflicts arise, I believe in addressing them directly and openly. For instance, I once facilitated a discussion between team members with differing opinions on a project approach, which led to a compromise that incorporated both perspectives and improved the project outcome.”

3. What motivates you to work in the healthcare data engineering field?

This question gauges your passion for the industry and your alignment with the company’s mission.

How to Answer

Share your personal motivations and how they connect to the company’s goals in healthcare.

Example

“I am motivated by the potential to make a positive impact on people’s lives through data. Working in healthcare data engineering allows me to contribute to solutions that improve patient outcomes, which is incredibly fulfilling for me.”

4. Can you give an example of a project where you had to improve an existing process?

This question evaluates your initiative and ability to drive improvements.

How to Answer

Describe a specific project where you identified an area for improvement and the steps you took to implement changes.

Example

“In a previous role, I noticed that our data ingestion process was slow and error-prone. I proposed and implemented a new ETL process using Apache Spark, which reduced the ingestion time by 40% and significantly improved data accuracy.”

5. How do you stay updated with the latest trends and technologies in data engineering?

This question assesses your commitment to continuous learning and professional development.

How to Answer

Discuss the resources you use to stay informed, such as online courses, webinars, or industry publications.

Example

“I regularly follow industry blogs, participate in webinars, and take online courses to stay updated on the latest trends in data engineering. I also engage with the data engineering community on platforms like LinkedIn to share knowledge and learn from others.”