TCS AWS Data Engineer Interview Questions, Process, and Tips

Q1. Question based on resume, cloud databases, EMR, Athena, Ec2, Sql
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Q2. Scenario based questions
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Q1. Managerial questions
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Q1. Question on AWS services like Glue, Lambda, EMR, S3 Python and SQL
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Q2. Python- List comprehension, function, various methods SQL -window function, rollback, commit, savepoint and it's diffrence Joins AWS- S3 lifecycle, it's use. Glue questions
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Q3. Explain use of * in both the args and kwargs. Expedition handling.use of pass function in python
Ans. 
The * symbol is used to pass variable number of arguments and keyword arguments in Python functions.
• The * symbol before a parameter name in a function definition allows it to accept variable number of arguments as a tuple.

• The ** symbol before a parameter name in a function definition allows it to accept variable number of keyword arguments as a dictionary.

• The * symbol before an iterable object in a function call unpack...read more
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Q1. Resume based questions Data modelling SQL
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Q2. From SQL focus was on self join Data modelling question from existing project Explain projects and existing pipeline
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Q3. Given two table explain joins created and total count
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Explaining joins and total count for two tables
• Joins combine data from two or more tables based on a common column

• Inner join returns only the matching rows from both tables

• Left join returns all rows from the left table and matching rows from the right table

• Right join returns all rows from the right table and matching rows from the left table

• Full outer join returns all rows from both tables

• Total count is the number of r
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Q1. What is AWS and its Architecture
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AWS is a cloud computing platform provided by Amazon with a scalable and flexible architecture.
• AWS stands for Amazon Web Services

• It offers a wide range of cloud services including computing power, storage, and databases

• AWS architecture is designed to be scalable, secure, and cost-effective

• Examples of AWS services include EC2 for virtual servers, S3 for storage, and RDS for databases
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Q2. What is Data Lake and Data warehouse
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Data Lake is a storage repository that holds a vast amount of raw data in its native format, while Data Warehouse is a structured repository for processed and analyzed data.
• Data Lake stores raw, unstructured data in its original form for future processing and analysis.

• Data Warehouse stores structured, processed data for querying and reporting.

• Data Lake is ideal for big data analytics and machine learning applications.

• D...read more
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Q3. What AWS Glue Service and and It's Components
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AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics.
• AWS Glue Data Catalog: A central metadata repository that stores metadata information about datasets and sources.

• AWS Glue ETL: Allows you to create ETL jobs to transform data from various sources into a format that can be easily analyzed.

• AWS Glue Crawler: Automatically discovers data in vario...read more
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Q4. When to use Lambda and Glue
Ans. 
Lambda for event-driven processing, Glue for ETL jobs
• Use Lambda for event-driven processing, such as real-time data processing or triggering actions based on events

• Use Glue for ETL (Extract, Transform, Load) jobs, especially when dealing with large volumes of data or complex transformations

• Lambda is serverless and scales automatically, while Glue provides managed ETL capabilities with built-in connectors to various dat...read more
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Create Architecture for Scalable AWS Data Pipeline

Q1. What is background and overall exp
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Q2. Your Weakness and strength
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Q3. Salary negotiation
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