Basic and redundant behavioural questions. Case study to parse the web data and perform analytics.
Senior Data Engineer Interview Questions
2,608 senior data engineer interview questions shared by candidates
Mostly related to fundamentals. You have to have a strong base in which ever data processing system you are working on - RDBMS or distributed or in-memory You need to be good at problem solving - questions can come as real-time scenarios. You don't need to be strong in syntax, but should be strong in concepts and approach
Basics of python, SQL queries and concept, Big data basics
Questions were mostly around your projects. Python, SQL, Big data concepts mainly
Codificación y algoritmia basada en lenguajes como SQL/Python. Algoritmos de ML y procesos MLOPS.
In python, word count and sql queries involving aggregations
* When would you use AWS EventBridge and when would you use AWS Lambda? * What's async in Python and what do co-routines mean in async? * Solution approach for data egress from a lakehouse to a legacy SQL database.
How to derive the previous quarter start and end date Unix question
As I can remember right now: - Measure and calculated columns you have used explainn in your projects. - data flows and your experience working with them. - which DAX formula you have work with more? - DAX formula you have used for filtering. some SQL questions: - which codes to create tables and views? - your experience with data cleansing in SQL.
How would you present this SQL to a business stakeholder
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