Quantexa Data Engineer Interview Questions
& Process

The interview process kicked off with an introductory phone call with the talent partner to get a feel for your background beyond the resume. If it seemed like a good fit, you'd move straight to the next stage. Then came a coding assignment, which you had seven days to complete using Scala and Spark, including writing test classes. The problems were pretty standard, mainly checking your grasp of functional programming since Quantexa heavily uses Scala/Spark. You'd submit your work via an online portal, and they'd let you know within a week if you made it to the final round. The last stage was a deep dive, lasting up to two hours with at least two senior engineers. It had three parts: first, a 15-minute presentation of a past project, followed by Q&A. Second, a review of your coding assignment, discussing potential changes, tests, and your design choices. Finally, a case study exercise mimicking Quantexa's daily tasks, focusing on your reasoning, detail-orientation, and problem-solving skills, rather than heavy coding.

Applied online and then got a call from Summaya, who was professional and prepared. After the call, I was supposed to do a take-home assessment in Spark/Scala. I hadn't used Scala much before, so I planned to do it over the weekend. But when I saw it, it was four tests, each taking about 6 hours, so 12 hours total. Given that 40 people applied on LinkedIn, it felt like too much effort, so I decided not to do it.

The interview process lasted about 3 weeks and felt very organized, professional, and well-thought-out. After I applied, I had a call with Sumayyah Khan, who gave me a thorough rundown of the company, the role, and what to expect during the interviews. The whole thing has 2 main parts: first, a take-home coding assignment focusing on Spark/Scala. If that went well, the next step was a 2-hour interview with the recruiters. They were super friendly and knowledgeable, making sure everything went smoothly. In that interview, I had to present a data engineering problem I'd tackled as a Lead, then we discussed the code I submitted, and finally, we went through a business case study. Sumayyah was a great help throughout, always responding quickly to any questions I had.