Focusing on the corporate philosophy of “work should be challenging and challenging should be fun,” Google predominantly ranks on Fortune magazine’s best companies to work for.
Therefore, landing a job as a data engineer at Google will open a range of opportunities for you. With excellent compensation, employee benefits, and innovative work culture, this FAANG company is one of the best places to work for data engineers. Needless to say, the Google data engineer interview process is pretty tough. But, it is certainly worth your efforts.
So, if you are preparing for a tech interview, check out our interview questions page and salary negotiation e-book to get interview-ready! Also, read Google Interview Questions and Google Coding Interview Questions for specific insights and guidance on Google tech interviews.
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In this blog, we’ll cover everything you need to know about the Google interview process for data engineers.
If you are gunning for the data engineer job at Google, it is extremely important to understand what responsibilities you will be undertaking. Let’s take a look at them:
What Does Google Look for in a Data Engineer?
Google follows a stringent process for hiring and operations. The company focuses on the following qualities in a data engineer job applicant:
Google considers the hiring process as an important part of its culture. The company believes in building an inclusive workplace, beginning with the hiring process.
According to Google, it is difficult to build a career on something that fails to excite you. So, before you proceed to apply for a tech interview in Google, begin with asking these questions to yourself:
Google describes this exercise as the “self-realization” phase. It will help you in creating a clearer picture of what you want in life. Your skills, experiences, and goals are a part of your life, your triumphs, and your failure. Once you are done focusing on yourself, you can proceed forward with:
Recommended Reading: Data Engineer Interview Process
This tech interview at Google primarily focuses on the following stages while hiring employees:
Google Data Engineer Interview Timeline
You can expect the process to take anywhere from 2-6 months. Google puts a great deal of emphasis on hiring the ideal candidate for each job profile. Hence, make sure to draft the perfect resume and ace the interviews to land your dream job.
After you are done with the interviews, the hiring team will bring everything together from your application and review it. The most stretched-out phase of the hiring process is the review stage. This can take several weeks and consists of the following two segments:
The interviewers submit their feedback in a standard format along with a numerical ranking. After that, HR conducts an automated search to find current Google employees who are alums of the same university or company as you. They then send an email to that employee to ask for their opinion of you.
The hiring committee then prepares a candidate packet containing top picks and recommendations from the committee. Later, a senior Google executive will review the remaining applicants and decide on whom to hire. After this, the compensation committee determines the appropriate market compensation for the offer.
Once you make the cut, you will receive an offer with details about your salary and other perks. Reportedly, you will be given up to two weeks to decide whether to accept or reject the offer.
Interviewers at Google examine whether you are a perfect match for the job role or not by adhering to these:
Thus, your prep should also be planned and structured to tackle any question you face during the interview.
To start, here are a few skills that you can brush up on while preparing for the Google data engineer interview:
Google’s interview for data engineers includes multiple topics. After our rigorous analysis, we found the following topics that interviewers put more emphasis on while hiring candidates:
Here are a few technical questions that you can expect during your interview:
When it comes to interview prep, Interview Kickstart is the gold standard. We can help you cover all ground to ace the Google data engineer interview process. Here’s how you’ll benefit from our course:
1. Do Data Engineers at Google Write Code?
Yes, data engineers build infrastructure, tools, services, and frameworks and also write codes.
2. What Is the Difference Between a Data Analyst and Data Engineer?
Data analysts analyze numeric data and use it to help the company make better decisions. On the other hand, data engineers are involved in preparing the data.