Become A Data Engineer For Google

Through years of technological progress, we now see Google as one of the biggest tech-giant capable of impacting the lives of more than 3 billion people across this globe. A vast tech giant heavily relies on collecting, sorting, analyzing, and utilizing data. Therefore, it is evident that data engineers here at Google play a crucial and essential role in building data management and manufacturing systems alongside helping aided reporting tools to contribute to creation and innovation. Lets know how to Become A Data Engineer For Google?

Become A Data Engineer For Google

Become A Data Engineer For Google

For any candidate to grab a seat at this company, they need to possess knowledge of the latest data trends, data engineering, and ETL (Extract Transform Load) tools. In addition, a good grasp of data structures and a secure working mechanism of algorithms is highly acknowledged and accepted. 

Still nervous about the interview? Let this article break down your layers of anxiousness one by one. 

What all rounds do I need to go through to get hired?

The recruitment process comprises three rounds in total. 

  • Round 1: An online coding test for all the appearing candidates is conducted to test their knowledge of SQL and Python. 
  • Round 2: A technical phone interview takes place where the main topic of the conversation focuses on the database management system, big data, and algorithms. 
  • Round 3: The final round, i.e., the Final Technical Round, constitutes three interviews covering portions of SQL, Shell Scripting, and Business Analysis. 

Well, this seems relatively brief. Let’s entail every point in detail. 

What is the online coding test about?

An online coding test based on SQL and python is conducted to screen and shortlist candidates for a specific career and skill set.  

It is important to note that there is no structured pattern of the type of questions asked. You can expect both multiple and paragraph answer-type questions in the paper.

The Telephonic Round Interview

A phone call will occur for those candidates who are shortlisted from the first round (coding test). The primary purpose behind this round is to closely assess your database management skills and the depth of knowledge you possess in big data and algorithms. 

Now, it might be possible that any of your past roles and experiences are asked about through the interview. Besides, the call will also test how fast and efficient you are in solving coding problems. 

Tips and Tricks to ace this telephonic conversation

  1. Have a thorough understanding of database management systems (DBMS).
  2. Get a good grasp on tackling questions on big data technology. 
  3. Possess a good command over data structures and algorithms (DSA). 
  4. Ensure to keep your answers short and crisp. 
  5. Make sure to highlight relevant experiences which could accentuate your skills and candidature. 

Heads up on some sample questions

  • How can strings be divided using any language of your choice? 

Answer: The size of the whole string could be determined using the strlen() function of the string.h library. Get the part size of the string by dividing the string length by the total number of strings present (n). After this, loop through the input string, wherein if the index becomes a multiple of the part size, then part separators are input.

  • Design a relational database system for a specific business case. 

Answer: <hyperlink for the below image could be used>

  • Questions based on you past experiences. 

Example Question: What was your role, and what did you learn in your journey with XYZ Company for the role of ABC?

  • What excites you to become a Data Engineer?

Answer: Data allows me to answer questions and make decisions based on the collected data for a potential success over data-driven decisions. The core of a question to arise is data, and the reason behind answering the very same question is data. This is what excites me to learn and observe data day by day and become a data engineer. 

Cracking the Final Round of Interview

The final technical round includes communicating with various people, including current data engineers at Google. The interview averagely takes place until 45-60 minutes. You would be judged on two things:

  1. How good of an understanding do you have of SQL. 
  2. Your mastery over shell scripting and how well you executed a given task within the minimum time frame. 

Now it is very important to understand that the interviewers will not be spending much time over introductions. Instead, you can expect he/she/them to directly jump to technical questions revolving around SQL, shell scripting, and business analysis. The main objective behind this is to understand how fast and efficient you are over the required tech stacks. Moreover, how well do you understand and implement the requests and suggestions made across the table.

How do you crack the final round?

  1. Explain each step of an algorithm or a code precisely so that the interviewers know how you are tackling the problem. It is possible that they might occasionally intervene to ask for more clarification or counter-question you. 
  2. Get a good handset of commands of joins, sub-queries, aggregations, filters, and case statements. 
  3. Be well prepared and ready for general and basic programming questions and implementation of the same in a language of your choice. 

Sample Questions for you to set the bar of expectations

  • How do you obtain the top 20 values from the column specified by the user from a comma-separated file? 

Answer: Data frame is to be sorted first, and then the first 20 numbers will be printed using a loop. 

  • How do you obtain the maximum value of a vast amount of data present in a .csv file? 

Answer: One can use the Harris algorithm to find the maximum value from numerous data sets in a table. 

  • How do you sum the values between A and B in a specific range of values?

Answer: The formula for the sum of first N natural numbers is used for this problem. Using the inclusion-exclusion principle, the sum of natural numbers is determined (using the formula) till the specified range (for example, R and L-1). Then the sum(L-1) is subtracted from the sum(R).

Feeling confident now?

Since you have acquired some knowledge of how the whole recruitment process happens, it is apparent for you to pop some questions into your mind. To help you answer those, hop into the FAQ section below to get answers to the common questions that are asked. 

Having three sets of rounds for getting placed in such a huge company sounds enthralling with loads of pressure. Have faith in yourself and fuel that passion you possess towards that interview that you aim to crack. 

Although the journey of preparation may come with loads of hindrances, be it academic-wise or any other yet is achievable as ‘Confidence, belief, and passion can break any stone you want.’  

FAQ (Frequently Asked Questions)
  1. What is the minimum required educational qualifications for this job?

Answer: Candidates must secure at least 60% or above in X and XII. He/She is required to possess a minimum of 65% in graduation and post-graduation (if applicable). Current backlogs aren’t accepted, and a maximum of a single-year gap is allowed in education (no gap is preferred).

  1. Is there an age limit for applying?

Answer: There are no age limits here at Google. If you have a passion for working and believe that you can do wonders at this place, just enroll already.

  1. Do I need to have a Computer Science degree to be a Googler?

Answer: No, a technical degree/CS degree isn’t mandatory for getting into Google. 

  1. Does Google ask for brainteasers during interviews?

Answer: Not at all. Interviews would rather focus more on sample test working and questioning structured problems. 

  1. Are we allowed to re-apply for the same job profile?

Answer: Absolutely, but candidates interested in technical job profiles are suggested to wait for a year; in order to gain additional experience for up-skilling themselves before re-applying. 

Become A Data Engineer For Google

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