J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez Citi (Tampa, FL) en déc. 2024
Entretien
It was definitely challenging, but I learned that consistent practice is the most important factor. To truly excel, you need to prepare even more rigorously than for a typical data analyst interview. Focus not just on technical knowledge, but also on problem-solving techniques and the ability to clearly communicate complex ideas. By pushing yourself to practice harder, you’ll build both confidence and the practical skills needed to perform at your best under pressure.
Questions d'entretien [1]
Question 1
Can you write a PySpark code snippet to load a JSON file and perform a filter operation on a column named H?to find records h greater than 30
The technical interview lasts about one hour. The interviewer is not an employee of the company, but from a third-party interviewing platform, and the interview time is quite flexible interview time is quite flexible.
Questions d'entretien [1]
Question 1
The interview mainly focused on SQL, Python coding, and some general technical Data Engineering questions.
J'ai postulé via un recruteur. J'ai passé un entretien chez Citi (Toronto, ON) en mars 2026
Entretien
screening, karat interview scenario based. Coding interview for the first round and a lot of scenario-based questions even on ML on 2nd interview. both the interview lasted 1 hr and 2nd interview barely gave 10 min for sql 3 cte query
Two rounds of interview, one is online with basic questions. Another one is physical interview with handwritten coding questions. There are multiple python and Pyspark questions for second rounds. Need to write code on the spot or answer the output of questions provided.