CodeAstu Technologies Data Engineer Interview Questions and Answers

Q1. How to Ensure Data loss in ETL pipeline
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Q2. Why to spin up Dataproc cluster when there is serverless batch job exists.
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Aptitude test involved with quantative aptitude, logical reasoning and reading comprehensions.

Q1. Tell me your introduction.
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Q2. Tell me about your skills.
Ans. 
I have strong skills in data processing, ETL, data modeling, and programming languages like Python and SQL.
• Proficient in data processing and ETL techniques

• Strong knowledge of data modeling and database design

• Experience with programming languages like Python and SQL

• Familiarity with big data technologies such as Hadoop and Spark
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Q1. Are you ready relocate,?
Ans. 
Yes, I am open to relocating for the right opportunity.
• I am willing to relocate for the right job opportunity.

• I have experience moving for previous roles.

• I am flexible and adaptable to new locations.

• I am excited about the possibility of exploring a new city or country.
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Q2. Document verification
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Q1. What is PySpark, and can you explain its features and uses?
Ans. 
PySpark is a Python API for Apache Spark, used for big data processing and analytics.
• PySpark is a Python API for Apache Spark, a fast and general-purpose cluster computing system.

• It allows for easy integration with Python libraries and provides high-level APIs in Python.

• PySpark can be used for processing large datasets, machine learning, real-time data streaming, and more.

• It supports various data sources such as HDFS, ...read more
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Q2. What is the difference between PySpark and Python?
Ans. 
PySpark is a Python API for Apache Spark, while Python is a general-purpose programming language.
• PySpark is specifically designed for big data processing using Spark, while Python is a versatile programming language used for various applications.

• PySpark allows for distributed computing and parallel processing, while Python is primarily used for sequential programming.

• PySpark provides libraries and tools for working wit...read more
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Q1. Write code in regular expression to remove the special characters
Ans. 
Use regular expression to remove special characters from a string
• Use the regex pattern [^a-zA-Z0-9\s] to match any character that is not a letter, digit, or whitespace

• Use the replace() function in your programming language to replace the matched special characters with an empty string

• Example: input string 'Hello! How are you?' will become 'Hello How are you' after removing special characters
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Q2. Questions on resume
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Q1. What is Databricks, Internals of it, Optimization technique
Ans. 
Databricks is a unified analytics platform that provides a collaborative environment for data scientists, engineers, and analysts.
• Databricks is built on top of Apache Spark, providing a unified platform for data engineering, data science, and business analytics.

• Internals of Databricks include a cluster manager, job scheduler, and workspace for collaboration.

• Optimization techniques in Databricks include query optimizati...read more
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Q2. SQL questions of joins,group by
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Q1. Scenario based azure data factory questions
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Q2. Project structres, pyspark dataframes related
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General question around data engineering

Q1. Different apache tech and tools
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Q2. What is snowflake
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Q3. Coding questions on python
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Q1. About location preference
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Q2. Behavioural questions
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Q1. Python Lambda Function
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Q2. What are pods in Kubernetes
Ans. 
Pods are the smallest deployable units in Kubernetes, consisting of one or more containers.
• Pods are used to run and manage containers in Kubernetes

• Each pod has its own unique IP address within the Kubernetes cluster

• Pods can contain multiple containers that share resources and are scheduled together

• Pods are ephemeral and can be easily created, destroyed, or replicated

• Pods can be managed and scaled using Kubernetes contr
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