sql queries and pyspark questions and on your projects
Senior Data Engineer Interview Questions
2,556 senior data engineer interview questions shared by candidates
SQL queries medium to complex Spark concepts and scenario based questions
persist vs cache? what does init do? args vs kargs? json vs parquet? columnar storage? distributed systems? spark dataframe vs pandas dataframe
How did you design data lake what are the three layers. How did you design using what services. why this services over the other Difference between schema in data warehouse Whats the purpose of this service. How you would store some secret keys and how you would secure the data. what are the methods and how you did it. whats the typical project activities dev,test,prod the cycle.
Spark and Scala, detecting bank fraud
What technologies have I worked with, how were my previous experiences, technical questions related to the stack used
How do you manage conflict? How do you break down technical issues to non-technical audience? Have you implemented any Data Governance tools?
What does diversity and inclusion mean to you? Name a time when you identified and solved a problem How did you know when the solution was a success?
I don't remember any specifically difficult questions or unexpected questions. I thought the interview was fair and the SQL test was fair based on the practice test provided.
What would your considerations be when designing a new data pipeline.
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