There were questions on: Snowflake, dbt, PostgreSql, Python, data warehousing, data modeling, OLAP vs OLTP, SQL, data quality, pipeline orchestration, and more. There was an emphasis placed on knowing Python, as noted above.
Senior Data Engineer Interview Questions
2,568 senior data engineer interview questions shared by candidates
It was an architecture and coding based technical challenge.
Explain about current project? In and out of my current project including datasets, tools and technologies etc..,
Complete ETL Workflow
The whole interview was a pure IT tech scoped interview without any HR stupid question.
They have asked mostly scenario-based questions
DE/ Spark/ APIs/ basic ML
Brush up spark and computer science knowledge. You need to know to have the fundamental knowledge of how apache spark works and having knowledge of cloud and data warehousing is a plus.
1. Difference between HDFS and S3. 2. how to optimise Spark job. 3. Simple problem on array swapping. 4. Simple SQL Queries. 5. Very Very generic assignment. 6. Spark Structured Streaming (Stream join)
Specific questions revolved around Spark's internal optimisations for SparkSQL and others.
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