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Data Engineer at Financial CompanyPosted September 29, 2022

Should I quit to prep for interviews?

I’m currently working as a Data Engineer for a mid-sized (1500 people) investment-services corporation. The company has been around for a long time and makes money, but it definitely isn’t a tech-first company (e.g. it refers to the software side as “I.T.”, has tons of meetings, approvals needed to install almost anything on my computer, including VSCode). I want to get into FAANG as a software engineer because I want to move away from the business/data side of things and closer to the engineer side of things. On my current team, I’m the lone data-engineer (will be joined by another in a few months) and as someone with <3 years of experience, I know that my growth is being stunted. I’m currently grinding AlgoExpert to prep for interviews. How should I think about the circumstances under which it would be worthwhile to quit in order to prep (full time) for FAANG interviews? Here’s what I can come up with in terms of current pros/cons of quitting: Pro’s of quitting: A LOT more time to prep for interviews, can probably increase my output of questions by 3x Can do a lot more interviews without worrying about my job and scheduling Do less business/data stuff which I plan on moving away from anyways Get closer to a FAANG salary faster, which will likely be around 2x of my current salary Cons: Don’t know how long it will take me to get a job Don’t know how easy it will be for me to get interviews without a job Psychological benefits of having a job Some learning on the job Low-stress job, nice manager, no overtime Already take an hour or two of my current job time to do AlgoExpert Make some money right now How does the answer change (if at all) if I manage to land interviews with a bunch of different FAANG companies (say 5+) and I’m struggling to schedule all the time for interviews, prep for them, and do minimal work at my current job? Thoughts are appreciated!

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Learn About Interviewing

Interviewing is an essential skill for every software engineer. The tech industry has one of the highest rates of job switching, so learning how to get good at interviewing can elevate your career. Your ability to transition between roles and companies depends on how well you perform during the interview. Taro offers resources for helping you to excel in software engineering interviews. We provide insights on effective preparation strategies and guide you on how to master the interview.
Interviews are a test for you to demonstrate your problem solving and technical skills. The ability to navigate complex challenges during an interview shows how prepared you are to take on the demands of being a software engineer.
Interviews also assess cultural fit and communication skills. This is important because you’ll be working in collaborative work environments where you need to talk to your team and other teams to execute well on your projects. Having great communication skills means you are able to effectively outline a broader vision of your project, dig into the technical details of your project, and communicate any potential issues to your stakeholders.
It’s crucial to thoroughly research the company to get valuable insights and make a good first impression. You can filter our Q&A by company to see whether there are any relevant conversations about the company to help with your interview. You can also check Blind and Reddit to understand what people are saying about the company. Use our Taro Networking feature to reach out to people in a company to get an insider perspective of the company. The company page should include information about their values and culture. Make sure that you align with these values. You should get a sense of the company’s financial reports to understand their products from a revenue point of view.
You should have a solid foundation in data structures and algorithms to show your experience and problem solving capabilities. Pick a programming language that you are proficient in, and use it for the technical portion of the interview. Leetcode is recommended as the best tool to practice for data structures and algorithms type of interviews. The provide a large set of problems with a code editor for you to solve the problems, and they have test cases and performance profiles so you can evaluate your solution. it’s also recommended to prepare through mock interviews.
The above strategies, along with diving more into Taro interviewing resources, can help you effectively prepare for an interview at a tech company.
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