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Azure Databricks has become a core platform for building modern Lakehouse architectures on Azure. Interviewers today focus less on definitions and more on real-world implementation, performance, governance, and cost optimization.
This blog presents a curated and logically sequenced list of Azure Databricks interview questions, covering ingestion, transformation, governance, CI/CD, streaming, security, and architecture — exactly how interviews flow in real scenarios.
This blog is based on actual questions asked in a TCS Data Engineer Interview (Round 1) and, more importantly, explains what interviewers really expect behind each question. If you are preparing for TCS or similar data engineering roles, this guide will help you align your answers with practical thinking rather than theoretical explanations.
In this post, we will see the list of questions asked with 3+ YOE candidate in Impetus Company Interview for Data Engineer profile.
Python is a fundamental language for Data Engineering, widely used in data processing, ETL pipelines, and big data frameworks like PySpark. To help you ace your Data Engineering interviews, I’m starting a Python Q&A series where we will cover commonly asked questions along with detailed explanations.
In this post, we will see the list of questions asked with 4+ YOE candidate in Tiger Analytics Company Interview for AWS Data Engineer profile.
Let’s see the Questions:
In this post, we will see the list of questions asked in Tech Mahindra Company Interview for Data Engineering profile.
In this article, we will see the list of questions asked in TCS Company Interview for Data Engineers. Let’s see the Questions:
In this article, we will see the list of questions asked in Accenture Company Interview for Azure Data Engineers.
Let’s see the Questions:
In this article, we will see the list of questions asked in Capgemini Company Interview for Data Engineers.
Let’s see the Questions:
1) Describe a recent project you’ve worked on.
In this article, we will see the list of questions asked in Wipro Company Interview for Data Engineers.
Let’s see the Questions:
1) Describe the concept of imputations (handling missing data) in Spark.
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