An interview is focused on SQL, Python, and AWS data engineering services, including scenario-based questions on ETL pipelines, Redshift, Glue, Athena, and PySpark transformations Also round was more technical and included real-time data engineering use cases, optimization techniques, joins, window functions, and troubleshooting AWS workflows. The overall process was challenging but well-structured for experienced AWS Data Engineers.
Autres retours d’entretien d’embauche pour un poste comme AWS Data Engineer chez Capgemini
J'ai postulé en ligne. Le processus a pris plus d'une semaine. J'ai passé un entretien chez Capgemini (Calcutta) en janv. 2025
Entretien
Good interview and smooth process and got good designation also.
Nice interview experience with all the formalities done within the time frame.
Would recommend everyone to join this company.
They have very good projects available.
Questions d'entretien [1]
Question 1
python,pyspark,sql,aws glue,redshift,lambda,Athena asked programs as well as realtime questions.
J'ai postulé en ligne. J'ai passé un entretien chez Capgemini (Bengaluru) en oct. 2023
Entretien
The Amazon Data Engineering interview can be broadly divided into 3 rounds. After applying for the job, a screening round is conducted, which is a telephonic interview with a recruiter. Candidates then proceed to the second round, which is a technical phone interview, with questions focusing on SQL and Data Modeling.
Questions d'entretien [1]
Question 1
Write a query to retrieve duplicate records from a table?
