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      EHS Analytics

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      Full Stack Developer Interview

      24 Apr 2024
      Anonymous employee
      Calgary, AB
      Accepted offer
      Positive experience
      Average interview

      Application

      I applied online. The process took 2 weeks. I interviewed at EHS Analytics (Calgary, AB) in Oct 2022

      Interview

      Step 1. First screening: 30 minutes video interview Step 2. Shortlisted candidates are invited to take an hour test in office. The test is a multiple choice and it is not a technical test. It is more focused on measuring the logical thinking capability of candidates. There are numerical reasoning, logical reasoning and some simple SQL questions. 3. Behavioural interview: This happens after the test. Usually takes 45 minutes. 4. Technical challenge: This is a technical task. Usually includes a database and UI. Shortlisted candidates after the last step will be given a task for which they will develop a solution. 5. Technical interview: 2 hour interview. In the first hour, the applicant will represent the solution they built. The technical team will ask questions based on the solution applicant submitted. The second hour is mainly a technical interview covering applicants technical capabilities.

      Interview questions [1]

      Question 1

      Step 1. Q 1.1: What me through your resume. Q 1.2: How do you feel about on-site job? Do you prefer remote. Q 1.3: What's your C#, SQL (SQL Server) level? Step 2. Q 2.1: Some SQL join questions. Q 2.2: There was a question about coil tossing and probability. I don't remember details Q 2.3: Some math questions like with the given inflation what would be the future price. Q 2.4: Logical reasoning question about a parking lot and fines and the other one was about sport match. It was not hard but some were kinda tricky. Needed more attention. Step 3. Q 2.1: Walk us through your resume. Q 2.2: Have you worked with a difficult person? Q 2.3: Why are you leaving your current job? basically standard behavioural questions Step 4: There was a dataset of a bike shop that needed to be imported into a database. My UI option was a web app. I think you had prices and based on model and date you calculate the future or selling price. It task was not hard. They are more interested in your coding. They get really deep into your code line by line and ask questions why you made different decisions. So submit a clean and well organized code with perfect architecture and logic.
      Answer question