Amantya Technologies Senior Data Engineer Interview Questions, Process, and Tips

Q1. Self Introduction
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Q2. Twilio Framework
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Q1. Related to Django Framework
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Q2. Related to Twilio Framework
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Job Roles and Responsibility & Salary Discussion

Q1. Springboot notations
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Q2. How to handle multiple request on springboot
Ans. 
Use thread pooling and asynchronous processing to handle multiple requests efficiently in Spring Boot.
• Implement thread pooling to manage multiple requests concurrently.

• Use asynchronous processing to handle requests without blocking the main thread.

• Consider using reactive programming with Spring WebFlux for better scalability.

• Optimize database queries and external API calls to reduce response times.

• Implement caching mec...read more
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Q1. Describe your workflow of the last project
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Developed ETL pipeline to ingest, clean, and analyze customer data for personalized marketing campaigns
• Gathered requirements from stakeholders to understand data sources and business objectives

• Designed data model to store customer information and campaign performance metrics

• Implemented ETL process using Python and Apache Spark to extract, transform, and load data

• Performed data quality checks and created visualizations ...read more
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Q2. What are the different transformations you have used
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I have used various transformations such as filtering, joining, aggregating, and pivoting in my data engineering projects.
• Filtering data based on certain conditions

• Joining multiple datasets together

• Aggregating data to summarize information

• Pivoting data from rows to columns or vice versa
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Q1. Read the text over screen share
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The candidate is asked to read and answer a question displayed on screen share.
• Read the text carefully to understand the question

• Analyze the information provided in the text

• Formulate a clear and concise answer based on the text
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Q2. Read news paper
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Q3. Write details over screen share
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The interviewer is asking the candidate to write details over screen share.
• Prepare a clear outline before starting to write

• Use bullet points or numbered lists for better organization

• Include relevant details and examples to support your points
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Q1. What is your name
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Q2. What is your strength
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Q1. What are Promises
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Promises are objects representing the eventual completion or failure of an asynchronous operation.
• Promises are used in JavaScript to handle asynchronous operations.

• They can be in one of three states: pending, fulfilled, or rejected.

• Promises can be chained using .then() to handle success and .catch() to handle errors.

• Example: Fetching data from an API returns a Promise that resolves with the data or rejects with an erro
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Q2. Is Node.js Single Threaded or Multiple Threaded
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Node.js is single threaded, but uses multiple threads for I/O operations.
• Node.js uses a single thread to handle all JavaScript code execution.

• It uses multiple threads from a thread pool to handle I/O operations asynchronously.

• This allows Node.js to handle high concurrency without blocking the main thread.

• Example: When reading a file, Node.js will use a separate thread from the pool to perform the I/O operation.
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Reverse the Array of Strings

Q1. Explain recent project
Ans. 
Developed a predictive model for customer churn in a telecom company
• Collected and cleaned customer data from various sources

• Performed exploratory data analysis to identify patterns and trends

• Built a machine learning model using logistic regression to predict customer churn

• Evaluated the model's performance using metrics such as accuracy, precision, and recall
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Q2. Cloud technologies used
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Various cloud technologies like AWS, Azure, and Google Cloud are commonly used for data analysis.
• AWS (Amazon Web Services)

• Azure (Microsoft Azure)

• Google Cloud Platform
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Performance based questions

Q1. 1.semaphore vs mutex 2.volatile 3.Interrupt 4.memory layout in c
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