Me postulé a través de un reclutador. El proceso tomó 1 semana. Acudí a una entrevista en Shopify (Ottawa, ON) en mar 2016
Entrevista
Informal, 20 minutes. The interviewer was inside the Data Group, he was nice and tried to make me comfortable, with questions about what I like about data. He explained the kind of work they do and he told me pro and cons that working on dirty data implies. He asked about my programming skills and my interest in data analysis and data manipulation. But the conversation was not so technical, we mentioned Python and a couple of libraries.
First step was recruiter screen. After that it's a 1 hour SQL pairing exercise. For the SQL Screen, you are encouraged to use AI and it is done through Coderpad
Preguntas de entrevista [1]
Pregunta 1
First two questions are relatively straightforward with aggregations. The third question involves a cross join with a date spine. Basically you have some activities on certain dates, and need to fill in the activity count on missing dates with 0. I did not get a chance to look at the fourth question.
first round is recruiter, followed by a senior engineer, and then data engineer (pair programming round). after this is the classic shopify 'about you' round which is 1 hour long
Me postulé a través de un reclutador. El proceso tomó 3 semanas. Acudí a una entrevista en Shopify (Toronto, ON) en oct 2025
Entrevista
The interview process was collaborative, well structured, and engaging throughout. The interviewers encouraged open discussion, asked thoughtful and practical questions, and fostered a supportive environment. They focused on real-world scenarios, problem-solving skills, and past experiences, making the conversation feel natural, professional, and insightful rather than purely evaluative.
Preguntas de entrevista [1]
Pregunta 1
Can you explain how you would design and optimize a SQL-based data pipeline to handle large-scale data processing and ensure data quality?
