Preparing for an interview in the Big Data field can be challenging, given the diverse range of technologies and methodologies involved. To help you excel in your career, I’ve compiled an extensive collection of Big Data interview questions asked by different companies in the industry
Year: 2024
Python | f-strings
Introduction: In the world of Python programming, string manipulation plays a crucial role in crafting readable and efficient code. Python offers various methods for string formatting, and one of the most powerful and simple approaches is using f-strings. In this article, we’ll explore the concept of f-strings in Python, explore their syntax, features, and demonstrate their usage through practical examples.
Common Python Interview Questions for Data Engineers
Python is a crucial language for Data Engineers, widely used in data processing, ETL workflows, and big data frameworks like Apache Spark. In this article, we will cover some commonly asked Python interview questions that will help you prepare for your Data Engineering interviews.
KPMG | Big Data Engineer Interview Questions
In this article, we will see the list of questions asked in KPMG India Company Interview for 2+ year of experience candidate in big data field.
Let’s see the Questions:
Python | How to Setup Snowpark Environment in Local Machine
Setting up a Snowpark environment on your local machine allows you to leverage the power of Snowflake for data processing and analytics. Whether you’re a data engineer, data scientist, or data analyst, having a local Snowpark environment can significantly enhance your productivity and facilitate experimentation. In this post, we’ll walk you through the steps to set up a Snowpark environment on your local machine.
Deloitte | Big Data Engineer Interview Experience
In this article, we will see the list of questions asked in Deloitte Company Interview for 3+ year of experience candidate in big data field.
Let’s see the Questions:
1) Briefly Introduce YourSelf?
2) Difference between head() and take() in spark dataframe API?
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Python | raise keyword
In Python, the raise keyword plays a crucial role in exception handling. It empowers developers to explicitly raise exceptions, providing a way to indicate that an error or exceptional situation has occurred during the execution of a program. This article go into the complexity of the raise keyword, exploring its syntax, use cases, and providing examples to illustrate its importance in Python programming.