Top 25 Amazon Data Engineer Interview Questions and Answers in 2024

Editorial Team

Amazon Data Engineer Interview Questions and Answers

Amazon is the largest e-commerce company in the world. Given its focus on e-commerce and other related services, it employs many data engineers with different roles. Therefore, applying for such a job would be a good idea if you have the necessary qualifications.

Our article will look at some of the questions you should expect once your application has been reviewed and you have been shortlisted for an interview. Remember that Amazon relies on competitiveness to stay alive in the e-commerce world; therefore, they only pick the best. Take a look at the following questions:

1. Why Are You Interested In This Role?

As an experienced data engineer who has worked with different corporations, I believe I am well placed to serve at Amazon. Being the largest e-commerce company in the world, Amazon will definitely present me with new challenges that I need at the moment for career advancement and learning purposes. I would love to meet your formidable team of engineers who have helped cement your place in the e-commerce trade.

2. What Are The Roles Of An Amazon Data Engineer?

I have gone through your job description repeatedly and therefore understand all the roles a data engineer is expected to perform at Amazon. They are tasked with helping millions of customers enjoy their shopping experiences by working on different performance issues and making the best instantaneous decisions. Your data engineers are also required to work on machine learning and data science, which have revolutionized the enterprise environment

3. What Are The Qualities Needed To Be An Effective Amazon Data Engineer?

To thrive at Amazon as a data engineer, one needs to be conversant with DW solutions architecture, able to handle different technologies such as Columnar, cloud, and RDMS; excellent at design, management, creation, and manipulation of large data sets; have excellent business and communication skills for purposes of working with business owners and the existing team and lastly, be passionate hen going about different aspects of the job.

4. What Is The Main Challenge That You Encountered In Your Last Role? How Did You Manage It?

I was the least experienced person in my last team since I was paired with older and more qualified people. Even though I was competent, I wasn’t as fast as the other engineers and, therefore, took quite some time to handle some processes. On seeing that the other team members were about to complain, I asked the project manager and team leaders to let me handle processes that I knew I could work on swiftly and got a mentor, the senior-most person in the group. Changing processes gave me more time to work on my speed and interact with my mentor, which greatly improved my career. Six months later, at the end of the project, I was at par with the team.

5. Briefly Mention Your Experience

This is my seventh year in data engineering, having worked for different enterprises in different places worldwide. I have vast experience in data modeling and ETL development, which I believe will be handy. I have also gained experience in data warehousing and big data technologies such as Hadoop. I have used several programming languages and honed my skills in functional languages such as Python and Perl. I am confident that my experience will help me contribute positively to this organization.

6. Describe Your Daily Routine

In my last role, my days started with going through my emails and replying to messages before checking in with my team for an hour for progress and issue review. As the lead data engineer, I would go through the work completed by the other team members to ensure adherence to the provided best practices before meeting with the different individuals, either physically or online, to work on bugs. I would then spend the rest of the day writing, testing, and running code and different algorithms on data and then plan tasks at the end of the day.

7. What Are The Best Strategies And Mindset Required For This Role?

The best strategy that any data engineer, regardless of field, can adopt is adhering to industry best practices at all times and in all processes. It saves time and ensures that the output is of high quality and can function optimally. As for the right mindsets, data engineers must have productive and focused mindsets, given the weight of their roles. Staying focused helps identify and fix mistakes early enough.

8. What Is The Main Challenge That You Foresee In This Role?

Thanks to the companies that trusted in me, I have had a successful data engineering career. However, Amazon is the world’s biggest e-commerce company, so your magnitude is quite scary. I am definitely expecting huge workloads, higher work standards, and different processes, meaning that I must give my all to adapt. Fortunately, I am a fast learner who knows how to adapt well to change, which will help me settle in this job.

9. How Do You Stay Motivated In This Field?

I am always intrinsically motivated. I constantly long to do better and break boundaries, be it external or internal. I love challenging myself to achieve more than I thought possible, a trait that has kept me motivated for years. I also understand my role in team settings and can’t let down my team- a factor contributing to my motivation in this field. Lastly, I am sure that working at Amazon will motivate me to work harder.

10. Mention A Time That You Failed In This Role And The Lesson You Learned

I have had a few bad experiences in this role that have fortunately shaped me into a better data engineer. I failed in my first experience as a team leader. The team members were poorly chosen, and the coordination was not apt, making us miss all the deadlines and earn a severe reprimand from the managers. They were easy on me, given that it was my first experience leading a team. This experience taught me the importance of proper team build-up and coordination, which I have stuck to till today.

11. Why Do You Believe You Are The Most Suited Candidate For This Role?

I am confident I have all it takes to succeed in this job. I have six years of industry experience as a data engineer. I have built and operated highly available and distributed systems for data extraction and ingestion of large data sets throughout my career. I can also lead large-scale data warehousing and analytics projects, thanks to my vast experience in this field. Lastly, I have all the skills and attributes needed for a data engineer position at Amazon, which I am sure will help me deliver.

12. What Is Your Greatest Achievement?

I have been fortunate enough to achieve many things at my age, which I don’t take for granted. My greatest achievement was being the youngest Google intern. I started coding at a young age; therefore, by eighteen, I was already more experienced than most of the professional coders I knew. On seeing my potential, I tried my luck with Google, which shockingly called me to showcase to them what I could do. The person in charge was impressed, and I got an internship position.

13. Why Do You Want To Work At Amazon?

I have always wanted to work at Amazon, given that it is the largest e-commerce company in the world. I always believe that the sky is my limit, and I have always challenged myself to go for the best and achieve more than I think I could. A job at Amazon will expose me to new challenges and processes that I believe will come in handy for my career. I also want to meet your current team of experts, share ideas and learn from them. I am positive that Amazon will give me the experience I am currently looking for in my career.

14. How Well Can You Work In Team Settings?

I understand that you value teamwork here at Amazon, which I am prepared for when I get this job. to confirm that I have worked in several teams before and therefore know how to get along with others and be of value in team settings. I can respect boundaries, motivate my team members to be at their best and contribute to the overall team performance. I am confident that I will get along well with your team thanks to my interpersonal and people skills, which have always come in handy in my career.

15. Our Data Engineers Work With Business Owners. How Will You Ensure They Are Satisfied?

Every company must strive to satisfy their clients for increased profitability and loyalty, which I am willing to do when I get a chance. I will use my communication and technical skills to ensure that business owners are satisfied by the end of the day. I am ready to go above and beyond when offering my services and maintain excellent professional relationships for long-term engagements. I will also adhere to all your policies regarding the handling of customers.

16. Can You Work Well Under Pressure?

Yes. A data engineer should always be ready to work under pressure, given the number of roles and deadlines in this profession. I have managed to handle pressure quite well in my former institutions, and I am convinced I will also succeed here. I normally plan my work to know what to expect and stay ahead at all times, which comes in handy in avoiding pressure. I am also good at multitasking, owing to my experience in this field, and can simultaneously perform several roles when the need arises.

17. How Do You Plan To Deal With Conflicts?

I always try to avoid conflicts as much as possible since I know their effects on productivity when left unchecked. However, if I disagree with a colleague, I normally ensure that we settle our differences before the sun sets. I am usually the first to approach the other party for reconciliation purposes. I believe differences should be handled early enough before they blow out of proportion. I will not leave work until all conflicts between other employees are settled.

18. How Will Your Experience Help You In This Job?

Amazon uses highly available and distributed systems for data manipulation, which I am greatly experienced in, given the companies I have served. I am confident that this experience will come in handy in this job. I also have extensive experience in the incremental building of data products and the integration and managing of varied datasets, which is also needed here. Other experiences include technical leadership and leveraging SAS, MATLAB and R, which are equally precious here. Lastly, I have worked for several Fortune 500 companies, which has prepared me for the task at hand in this establishment.

19. What Is Your Biggest Strength? How Does It Increase Your Chances Of Succeeding At This Job?

I have many strengths that have helped me succeed as a data engineer. However, I believe that the main one is my willingness to learn. I am always looking for new information to help me advance in my career and improve my prowess. I usually love sharing information with my team members and learning from everyone regardless of their positions. I have managed to come this far owing to this attribute.

20. What Makes You Think That You Will Fit In Well Here?

Amazon is highly competitive, making it my perfect work environment. I love establishments that push me to give my all and be at my best at all times. I am also always looking forward to meeting new challenges d finding solutions, which Amazon will grant me. Lastly, I love learning from people I perceive as more qualified or experienced than me. This job will allow me to work with your highly skilled team and learn from them.

21. Your Resume Says That You Have Vast Experience In Using The Hadoop Application. Can You Mention All The Components?

The Hadoop Application has four main components: Hadoop yarn, Hadoop MapReduce, HDFS, and Hadoop Common. The Hadoop common component consists of this application’s utilities and libraries, while the HDFS is the file system that stores Hadoop data. It normally has a high bandwidth, given that it is a distributed system. Hadoop YARN comes in handy in resource management and is found within the Hadoop cluster. It can easily schedule tasks for different users. Lastly, Hadoop MapReduce is used in lathe scale data processing as it is often based on a given algorithm.

22. What Happens When A Block Scanner Detects A Corrupted Data Block?

Block Scanner is a data engineer’s friend since it detects corrupted data that may have escaped a data professional. In such an instance, the DataNode will first report to NameNode when a corrupted data block is found. The NameNode then begins to create a new data replication using the corrupted block replica. The last step is matching the replication count of the exact replicas with the replication factor. The corrupted data block is not deleted when a match is found.

23. Mention The Difference Between Star And Snowflake Schemas

There are four main differences between these schemas. In that star schema, the dimension hierarchies are often found in the dimensional table, while in the snowflake schema, they have separate tables. Star schemas also have higher chances of data redundancies which are low in snowflake schemas. Furthermore, the star schema has a simple DB design while its counterpart’s DB design is quite complex. Lastly, star schemas have an advanced means of cube processing, while faster cube processing is inhibited in snowflake schemas due to the presence of complex joins.

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24. Do You Think Hadoop Prioritizes Data Security? If Yes, How?

Hadoop offers optimum data security, which explains its popularity. This is done in several ways. First, one must secure the authentic channels that create a connection between clients and servers. Clients are then allowed to access a stamp that requests service tickets. This ticket also plays an important role as clients often use it to authenticate connections with different servers.

25. What Have You Done To Better Your Career In The Last Three Years?

I normally strive to ensure that I progress in my career and acquire new skills yearly. In the last three years, I have undertaken a leadership course which has always come in handy in managing the projects I was charged with in my workplace. I have also learned and grasped three programming languages, which have greatly impacted my career. Additionally, I joined a group of data engineers where we shared insights and discussed different challenges worth solving. Lastly, I am currently undertaking a data management course that will help my career.


Amazon is currently the biggest e-commerce company in the world by a larger margin. Therefore, you must go the extra mile when preparing for their upcoming interview. These questions should help you identify where to cover more. We wish you all the best in your upcoming interview!