Me postulé en línea. El proceso tomó 4 semanas. Acudí a una entrevista en Amazon Web Services en dic 2024
Entrevista
Five-stage funnel: (1) brief recruiter screen, (2) 90-minute online coding + SQL test, (3) technical phone interview focused on ETL design and AWS analytics services, (4) virtual “loop” with four back-to-back panels—two deep technical, two leadership-principle behavioral—each lasting 45 minutes, and (5) final bar-raiser chat. Questions balanced hands-on data-modeling scenarios with Amazon’s Leadership Principles. Feedback was prompt, interviewers were friendly but pressed for depth, and the overall timeline from application to offer was about four weeks.
Preguntas de entrevista [1]
Pregunta 1
Outlined Kinesis Data Streams for ingestion, Kinesis Data Firehose to stage in S3, AWS Glue streaming jobs for transformation, partitioned Parquet output in S3, and Redshift Spectrum/Athena for ad-hoc analytics. Emphasized auto-scaling, error handling with DLQs, and cost tracking via Cost Explorer.
Back to back interviews, leetcode easy and one SQL. The first one was covering basic pythin syntax and problem solving. The second, thhe intervierw was coming up with SQL questions on the spot.
Acudí a una entrevista en Amazon Web Services (Londres, Inglaterra)
Entrevista
The interview was lengthy with online problem-solving questions, experience-related questions, and two coding questions. Could do one, not both. The interviewer was also very dry and did not give a lot of attention to the interview.
Preguntas de entrevista [1]
Pregunta 1
I dont exactly remember but it was related to decision trees.
Me postulé en línea. Acudí a una entrevista en Amazon Web Services
Entrevista
Initial Pre-screen with Recruiter
Data modeling and sql for real scenarios
Python Coding
Bar Raiser and Leadership Principles
Interview with Hiring Manger was mostly about the projects and how I handled the challenges.