ResMed Data Engineer Interview Questions + Guide in 2025

ResMed is a leading digital health technology company that focuses on enhancing the lives of millions of people through connected care and innovative digital experiences.

As a Data Engineer at ResMed, you will play a crucial role in building and managing data management platforms that empower data-driven decision-making across the organization. Your key responsibilities will include defining, modeling, and validating data accessibility for stakeholders across various regions, including the Americas, Asia Pacific, and EU. You will share ownership of the data platform, ensuring seamless data ingress, transformation, and integration. Collaboration with cross-functional teams to document and design data architecture will be essential, as will your ability to assemble complex datasets that meet functional and non-functional business requirements.

To excel in this role, a strong foundation in SQL, cloud services (particularly AWS), and experience with scalable ETL processes are vital. Familiarity with tools such as Snowflake, Spark, and Kafka will also enhance your candidacy, as you will be expected to design and maintain data pipeline integrations that leverage large-scale data stores. Additionally, your capacity to work collaboratively with test engineers to maintain high-quality standards will be a key aspect of your success.

The ideal candidate will possess a blend of technical acumen and a proactive approach to building best practices within the team. You should demonstrate excellent problem-solving skills, particularly in addressing data-related technical issues and supporting stakeholder needs.

This guide will help you prepare for your interview by providing insights into the specific skills and competencies that ResMed values in a Data Engineer, enabling you to showcase your relevant experience and align your responses with the company's objectives and culture.

The interview process for a Data Engineer position at ResMed is structured to assess both technical and interpersonal skills, ensuring candidates align with the company's values and technical requirements. The process typically unfolds in the following stages:

1. Initial Phone Screen

The first step is a phone interview with a recruiter, lasting about 30 minutes. This conversation focuses on your background, experience, and motivation for applying to ResMed. Expect to discuss your resume, salary expectations, and general fit for the company culture. This is also an opportunity for you to ask preliminary questions about the role and the team.

2. Technical Interview

Following the initial screen, candidates usually participate in a technical interview, which may be conducted via video call. This round typically lasts between 1 to 1.5 hours and involves discussions with a hiring manager and a senior engineer. You will be asked to demonstrate your knowledge of data architecture, SQL, and cloud services, as well as your problem-solving skills through scenario-based questions. Be prepared to discuss your past projects and how you approached various technical challenges.

3. Behavioral Interview

In this stage, candidates may engage in a behavioral interview with team members or managers. This round focuses on assessing your soft skills, teamwork, and alignment with ResMed's values. Expect questions that explore your experiences in project management, conflict resolution, and collaboration within teams. This is a chance to showcase your interpersonal skills and how you handle real-world situations in a work environment.

4. Final Interview

The final interview may involve multiple rounds with different stakeholders, including cross-functional team members. This stage is designed to evaluate your fit within the broader team and company culture. Questions may cover your approach to data management, scalability, and your ability to work collaboratively across departments. This round can also include discussions about your long-term career goals and how they align with ResMed's mission.

Throughout the interview process, candidates should be prepared to discuss their technical expertise in data engineering, including experience with SQL, AWS services, and data pipeline integrations.

Next, let's delve into the specific interview questions that candidates have encountered during their interviews at ResMed.

In this section, we’ll review the various interview questions that might be asked during a Data Engineer interview at ResMed. The interview process will likely focus on your technical skills, experience with data architecture, and your ability to work collaboratively within a team. Be prepared to discuss your past projects, your approach to problem-solving, and your understanding of data management principles.

Technical Skills

1. How do you ensure the scalability, reliability, and security of an application?

This question assesses your understanding of application architecture and your ability to design systems that can handle growth and maintain security.

How to Answer

Discuss specific strategies you have implemented in past projects to ensure these qualities, such as load balancing, data encryption, and regular security audits.

Example

“In my previous role, I implemented a microservices architecture that allowed us to scale individual components independently. We also used AWS security features like IAM roles and encryption for data at rest and in transit, which significantly improved our application’s security posture.”

2. Can you describe your experience with SQL and how you have used it in data engineering?

This question evaluates your proficiency with SQL and your ability to manipulate and query data effectively.

How to Answer

Provide examples of complex queries you have written, the types of databases you have worked with, and how you optimized performance.

Example

“I have extensive experience with SQL, particularly in optimizing queries for large datasets. For instance, I improved the performance of a reporting query by implementing indexing and rewriting subqueries into joins, which reduced execution time by over 50%.”

3. Describe a data pipeline you have designed. What were the key components?

This question focuses on your practical experience in building data pipelines and your understanding of the necessary components.

How to Answer

Outline the architecture of the pipeline, the tools you used, and how you ensured data quality and efficiency.

Example

“I designed a data pipeline using AWS services, where data was ingested from S3, processed using AWS Glue, and stored in a Redshift data warehouse. I implemented data validation checks at each stage to ensure data integrity and used Airflow for orchestration.”

4. How do you approach data integration from multiple sources?

This question assesses your ability to handle data from various origins and your understanding of integration techniques.

How to Answer

Discuss your experience with ETL processes and any tools you have used for data integration.

Example

“I typically use a combination of ETL tools like Talend and custom scripts to integrate data from various sources. I ensure that I understand the schema of each source and perform necessary transformations to maintain consistency across the datasets.”

5. What is your experience with cloud services, particularly AWS?

This question evaluates your familiarity with cloud platforms and their services relevant to data engineering.

How to Answer

Mention specific AWS services you have used and how they contributed to your data engineering projects.

Example

“I have worked extensively with AWS, utilizing services like S3 for storage, EC2 for computing, and RDS for relational databases. In one project, I set up a data lake on S3, which allowed us to store and analyze large volumes of data efficiently.”

Behavioral Questions

1. Describe a time when you had to manage conflict within a team. How did you handle it?

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

How to Answer

Provide a specific example, focusing on your approach to resolving the conflict and the outcome.

Example

“In a previous project, there was a disagreement between team members about the data model design. I facilitated a meeting where everyone could voice their concerns, and we collaboratively reached a compromise that incorporated the best ideas from each perspective, ultimately improving the project outcome.”

2. Can you provide examples of the different projects you have worked on?

This question allows you to showcase your experience and the impact of your work.

How to Answer

Highlight a few key projects, focusing on your role, the technologies used, and the results achieved.

Example

“I worked on a project that involved building a real-time analytics platform for a healthcare client. I was responsible for designing the data architecture and implementing the ETL processes, which resulted in a 30% reduction in data processing time and improved decision-making capabilities for the client.”

3. How do you stay updated with new technologies and industry trends?

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

How to Answer

Discuss the resources you use to keep your skills current, such as online courses, webinars, or industry publications.

Example

“I regularly attend webinars and workshops on data engineering topics and follow industry leaders on platforms like LinkedIn. I also participate in online courses to learn about new tools and technologies, ensuring that I stay ahead in this rapidly evolving field.”

4. What motivates you to work in data engineering?

This question helps the interviewer understand your passion for the field and your career aspirations.

How to Answer

Share your enthusiasm for data and how it drives your work, along with any specific goals you have.

Example

“I am motivated by the power of data to drive insights and improve decision-making. I find it rewarding to solve complex problems and contribute to projects that have a meaningful impact, especially in the healthcare sector where data can lead to better patient outcomes.”

5. How do you prioritize your work when managing multiple projects?

This question assesses your organizational skills and ability to manage time effectively.

How to Answer

Explain your approach to prioritization, including any tools or methods you use to stay organized.

Example

“I use project management tools like Jira to track tasks and deadlines. I prioritize my work based on project urgency and impact, regularly communicating with stakeholders to ensure alignment on priorities and expectations.”