Senior Data Engineer Interview Questions

2,387 senior data engineer interview questions shared by candidates

There was a lot of technical questions on ETL/ELT, SQL, Snowflake, Fivetran ,Python ,cloud technologies and implementation in the project . the interviewer were very knowledgeable and down to earth. Even the Managerial round had many technical questions and the interviewer was very humble .There were few personality questions asked like what comes to your mind if about a tiger/crow. The HR round was pretty senseless as per me and they agreed for the offer in first round. In the next interview which was with an HR from Danaher she said that they have a particular amount and said she will release the offer only if i accept it , it seemed i had no say in deciding my compensation. Ultimately they dropped my candidature . Utter Waste of Time !!!!!!
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Senior Data Engineer

Interviewed at Cepheid

2.9
Nov 12, 2021

There was a lot of technical questions on ETL/ELT, SQL, Snowflake, Fivetran ,Python ,cloud technologies and implementation in the project . the interviewer were very knowledgeable and down to earth. Even the Managerial round had many technical questions and the interviewer was very humble .There were few personality questions asked like what comes to your mind if about a tiger/crow. The HR round was pretty senseless as per me and they agreed for the offer in first round. In the next interview which was with an HR from Danaher she said that they have a particular amount and said she will release the offer only if i accept it , it seemed i had no say in deciding my compensation. Ultimately they dropped my candidature . Utter Waste of Time !!!!!!

1)how do u flatten json nested structure in spark, 2)delete columns based on some conditions in spark, 3)sqoop export with incremental loading 4)datetime related querstions in python 5)problem and need to solve in java 6)lot of scenario based questions related to RDBMS vs Hadoop choice
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Senior Data Engineer

Interviewed at Société Générale

3.7
Dec 23, 2019

1)how do u flatten json nested structure in spark, 2)delete columns based on some conditions in spark, 3)sqoop export with incremental loading 4)datetime related querstions in python 5)problem and need to solve in java 6)lot of scenario based questions related to RDBMS vs Hadoop choice

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