Big Data Engineer Interview Questions

898 big data engineer interview questions shared by candidates

Discussion on Project and Technology i have worked on Real Time and Ingestion Process detail Some questions on Map-Reduce working Sorting a big file Combiner and question on it. Kafka and spark fundamental Optimization on real time streaming.
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Big Data Engineer

Interviewed at SAP

4.2
May 17, 2016

Discussion on Project and Technology i have worked on Real Time and Ingestion Process detail Some questions on Map-Reduce working Sorting a big file Combiner and question on it. Kafka and spark fundamental Optimization on real time streaming.

However, just because the interview is over doesn't mean your process should be. One step that many people skip in the job interview process is the review. Reviewing job interview is almost as important as the other steps. The review helps you realize what you did well, and what you could improve on
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Big Data Engineer

Interviewed at Amazon

3.5
Jun 25, 2021

However, just because the interview is over doesn't mean your process should be. One step that many people skip in the job interview process is the review. Reviewing job interview is almost as important as the other steps. The review helps you realize what you did well, and what you could improve on

FACT_ORDER_ITEM product_id, customer_id, view_day, item_price, quantity, page_view_id, is_ordered Note: This table gets 100M/day and has data for 5+years DIM_CUSTOMER customer_id, address, age, education Note: this table has 1B records We need to create geographic and demographic dashboards based on these weekly, monthly, and yearly tables, keeping in mind the huge volume of data within them for any joins
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Big Data Engineer

Interviewed at Amazon

3.5
Apr 7, 2025

FACT_ORDER_ITEM product_id, customer_id, view_day, item_price, quantity, page_view_id, is_ordered Note: This table gets 100M/day and has data for 5+years DIM_CUSTOMER customer_id, address, age, education Note: this table has 1B records We need to create geographic and demographic dashboards based on these weekly, monthly, and yearly tables, keeping in mind the huge volume of data within them for any joins

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