Me postulé a través de un reclutador. El proceso tomó 3 meses. Acudí a una entrevista en Meta en may 2021
Entrevista
I was reached out by recruiter via email and scheduled phone call interview. Next I had on-site interview where they gave enough time to prepare and prep-calls are the best. They give you a very brief mock interview process for product-sense.
Preguntas de entrevista [1]
Pregunta 1
Main focus should be on Product sense, SQL and python basics like List and Dictionaries.
SQL - You should be well aware of aggregations, how to do one table scan and provide aggregated values.
Product sense is something which will be covered in all your rounds.
Data Modeling - Focus how you design your Dimension and Fact tables. Make sure to have denormalized fact tables. Go through Data models of Uber, Doordash, LinkedIn (not like graph database) but at higher level.
Because SQL questions would be based on how you design.
Python - Basic questions like calculating average, traversing and sorting lists and dictionaries would be enough.
Begins with an application review and recruiter screening, followed by a technical phone interview that assesses SQL, data modeling, data warehousing, ETL processes, and coding skills in languages such as Python or Java. Successful candidates then proceed to onsite or virtual interviews, which include multiple rounds covering coding, system design, data architecture, problem solving, and behavioral questions.
Preguntas de entrevista [1]
Pregunta 1
Tell us about yourself and why you want to work for us
Me postulé en línea. Acudí a una entrevista en Meta (New York, NY)
Entrevista
Prepare technical concepts, and practice previously asked questions as much as you can find online. 4 rounds in the total process. It's easy as long as you just practice a LOT.
