Interview contents copy & pasted from the word doc they emailed me: Kingsmen Software. Screening Test/Interview Questions for Junior Data Engineer (Remote) Position Instructions: Please precede all your answers with the question you are answering. Use acronyms only after you've explained them. Use correct spelling and grammar. Be sure to write your name and the interviewer’s name. Candidate’s Name: Interviewer’s Name: Kevin Carney 1. Are you currently employed? 2. Can you tell us some basic information about yourself? 3. How has your education prepared you for this role? 4. What causes you stress at work, and how do you manage it? 5. What interests you about working with our company and why should we hire you over other candidates? 6. Can you describe how you have handled a high-stress situation? 7. What's one thing you think you could improve on? 8. How do you work best, in a team or individually? 9.Do you tend to focus on pipelines, databases or both and how do you create reliable data pipelines? 10. Tell us about a time when you found a new use case for an existing database. How did your discovery impact the company positively? 11. Can you recall a time when you disagreed with your supervisor? How did you handle it? 12. What data engineering platforms and software do you know? &which computer languages do you use fluently? 13. Will you be able to devote 30 to 40 hours of your time weekly for the company? 14. How long would you expect to work for us if hired and how much will you request per hour if you are hired? 15. When can you start working with us if we offer you this position? 16. What do you enjoy least about data engineering? 17. Are you comfortable reporting to superiors younger than you? Objectives of this role: Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes Help streamline our data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning Be an advocate for best practices and continued learning Responsibilities: Work closely with our data science team to help build complex algorithms that provide unique insights into our data Use agile software development processes to make iterative improvements to our back-end systems Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis Build data pipelines that clean, transform, and aggregate data from disparate sources Develop models that can be used to make predictions and answer questions for the overall business Can you handle all of these duties effectively?