ValueMomentum Data Engineer Interview Questions and Answers

Q1. Question based on big data
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Q2. Cloud based messaging system
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Q1. Cloud based operations
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Q1. Spark basic question , hive related questions.
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1- sql adn 10 spark questions.

Q1. Python programs - 4
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Q2. Sql questions - 4
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Q1. Project related and work experience questions
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Q1. Managerial question
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Technical Assessment Test (MCQs) - 30 mins.

Q1. Basic Questions on: 1.Python 2.SQL 3.Spark
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Q2. Python: Replace all occurrences of word: "apple" with "froot" and count no.of occurrences of word: "apple" - in a given string (multiple lines) SQL: 1. Retrieve employee details, drawing the maximum salar...read more
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Q3. Convert string (multiple lines) to list
Ans. 
Use the split() method to convert a string with multiple lines into a list of strings.
• Use the split() method with the newline character '\n' as the delimiter to split the string into a list of strings.

• Example: 'Hello\nWorld\n' -> ['Hello', 'World']
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Q4. Convert string of multiple lines with 'n' words to multiple arrays of fixed size: k, with no overlap of elements accross arrays.
Ans. 
Convert a string of multiple lines with 'n' words to multiple arrays of fixed size without overlap.
• Split the string into individual words

• Create arrays of fixed size 'k' and distribute words evenly

• Handle cases where the number of words is not divisible by 'k'
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Q1. Python Lambda Function
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Q2. What are pods in Kubernetes
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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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Q1. Data Structures
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Q2. Python Lambda Function
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Q1. What are your Strengths
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My strengths include strong analytical skills, attention to detail, and problem-solving abilities.
• Strong analytical skills - able to analyze complex data sets and derive meaningful insights

• Attention to detail - meticulous in ensuring data accuracy and quality

• Problem-solving abilities - adept at identifying and resolving data-related issues

• Experience with data manipulation tools like SQL, Python, and Spark
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Q2. Why you are looking for job change
Ans. 
Seeking new challenges and growth opportunities in a different environment.
• Looking for new challenges to enhance my skills and knowledge

• Seeking growth opportunities that align with my career goals

• Interested in exploring different technologies and industries

• Want to work in a more collaborative team environment

• Seeking better work-life balance or location proximity
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Q1. Different type of license in power bi. Data Modelling.
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Power BI offers different types of licenses for data modeling, including Power BI Pro and Power BI Premium.
• Power BI Pro license allows users to create and share reports and dashboards with others.

• Power BI Premium license offers additional features such as larger data capacity and advanced AI capabilities.

• Power BI Embedded license is designed for embedding reports and dashboards into custom applications.

• Power BI Report ...read more
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Q1. What abt you know tiger
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Q2. General hr questions
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Q1. BigQuery Architecture and file formats
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Q2. Airflow operators and what is the use of Airflow python operator
Ans. 
Airflow operators are used to define tasks in a workflow. The Airflow Python operator is used to execute Python functions as tasks.
• Airflow operators are used to define individual tasks in a workflow

• The Airflow Python operator is specifically used to execute Python functions as tasks

• It allows for flexibility in defining custom tasks using Python code

• Example: PythonOperator(task_id='my_task', python_callable=my_python_fu
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Q1. Explain the entire ETL workload in your current company project and how to handle the data quality issues.
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