After the OA and phone screening, there are 4 rounds in total.
Two technical rounds are followed by a hiring manager round and a bar raiser round.
General focus areas include SQL, Python scripting, and technical deep dives based on project experience.
SQL questions often revolve around using CTEs, Window functions, and Joins. Knowledge of ETL frameworks or Big Data tools like Spark, Glue, Airflow, Kinesis, or datastores like Redshift is covered, along with AWS services.
The Bar Raiser round focuses mainly on Amazon's Leadership Principles.
SQL Given a sales table (product, year, capital, units, cpu), calculate profit per product per year. Find the highest profit gained per product each year.
Python Find the first recurring character.
The following metrics were computed from 44 interview experiences for the Amazon Data Engineer role in India.
Amazon's interview process for their Data Engineer roles in India is very selective, failing most engineers who go through it.
Candidates reported having very good feelings for Amazon's Data Engineer interview process in India.