Amazon Database Engineer Interview Questions

The Role of Data Engineers at Amazon

If you’re wondering what your role as a data engineer at Amazon would entail, here’s what it looks like;

  • Collect, store and manage huge quantities of data.Â
  • Convert raw data into information that can be used to make decisions.
  • Be at the forefront of data-driven decision-making by working closely with data scientists, product managers, and software engineers.
  • Â Build and maintain database architectures.
  • Develop tools for data analysis and process automation.
  • Coordinate with product managers, software engineers, and data scientists to work on common projects that involve leveraging datasets.
  • Leverage SQL and programming to build algorithms.
  • Perform data modeling and carry out ETL design, keeping with best practices.
  • Nick CamilleriHead of Career Skills Development & Coaching*Based on past data of successful IK students

    Our tried & tested strategy for cracking interviews

    The 4 areas you must prepare for

    How you can accelerate your learnings

    Amazon’s data engineers play a crucial role in the company’s day-to-day business operations. Data engineers work closely with various teams, including product, marketing, and operations, to ensure that data is leveraged effectively for decision-making. Being a consumer-centric organization with millions of users, data engineers play a critical role in helping understand consumer behavior and working closely with AI and ML teams to build algorithms for predictive data models.Â

    The interview process for data engineers at Amazon is very similar to the process for software engineering roles. Just like how software engineers need to be good with coding, data engineers need to be adept in object-oriented programming languages, namely Python, C++, and Java. The process has a coding round where problems are asked around core data structures and algorithms. Besides coding, data engineers also have to be good with ETL design, data modeling, and SQL.

    In this article, we’ll look at some Amazon data engineer interview questions and also take a quick look at the interview process for data engineering roles. Here’s what we’ll cover in this article:

  • The Role of Data Engineers in Amazon
  • Skills and Qualifications Required to Be an Amazon Data Engineer
  • Amazon Data Engineer Interview Process
  • Amazon Data Engineer Interview Questions
  • Tips to Crack the Amazon Data Engineer Interview
  • 3 What happens behind the scenes

    Your recruiter is leading the process and taking you from one stage to the next. Heres what happens after each of the stages we’ve just described:

  • After the phone screens, your recruiter decides to move you to the onsite or not, depending on how well youve done up to that point.
  • After the onsite, each interviewer files their notes into the internal system, grades you and makes a hiring recommendation.
  • The “Debrief” brings all your interviewers together and is led by the Bar Raiser, who is usually the most experienced interviewer and is also not part of the hiring team. The Bar Raiser will try to guide the group towards a hiring decision. Its rare, but they can also veto hiring even if all other interviewers want to hire you.
  • You get an offer. If everything goes well, the recruiter will then give you an offer, usually within a week of the onsite, but it can sometimes take longer.
  • Its also important to note that recruiters and people who refer you have little influence on the overall process. They can help you get an interview at the beginning, but thats about it.

    You are assigned to work on a new engineering project. How do you get started?

    Start with the initial stages like gathering stakeholder input, understanding data requirements and creating process or logical data models.

    SQL questions for data engineers typically include basic definitions, scenario-based questions and SQL query writing tests.

    Guide to Amazon Data Engineer Interview: Rounds, Interview Question and Preparation Tips

    Related Posts

    Leave a Reply

    Your email address will not be published. Required fields are marked *