Amazon Sales Interview Questions, Process, and Tips

Q1. Apache Spark and it's working
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Q2. Past Experience
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Q1. Git version control question
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Q2. Python med DSA question
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Q1. About current project
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Q2. Snowflake limitations
Ans. 
Snowflake has limitations such as maximum table size, maximum number of columns, and maximum number of concurrent queries.
• Snowflake has a maximum table size of 16TB for all tables, including temporary and transient tables.

• There is a limit of 1600 columns per table in Snowflake.

• Snowflake has a maximum of 10,000 concurrent queries per account.

• There are also limitations on the number of objects (databases, schemas, tables
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Q1. How to split staged data’s row into separate columns
Ans. 
Use SQL functions like SUBSTRING and CHARINDEX to split staged data's row into separate columns
• Use SUBSTRING function to extract specific parts of the row

• Use CHARINDEX function to find the position of a specific character in the row

• Use CASE statements to create separate columns based on conditions
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Q2. How would you monitor an overnight data load job in snowflake
Ans. 
Monitor overnight data load job in Snowflake
• Set up alerts and notifications for job completion or failure

• Check job logs for any errors or issues

• Monitor resource usage during the data load process

• Use Snowflake's query history to track job progress

• Implement automated retries in case of failures
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Q1. What is joins in SQL
Ans. 
Joins in SQL are used to combine rows from two or more tables based on a related column between them.
• Joins are used to retrieve data from multiple tables based on a related column between them

• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

• Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column
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Python DSA Leetcode style questions, prepare.

Q1. Walk me through your resume
Ans. 
I have a strong background in data engineering with experience in various industries.
• Bachelor's degree in Computer Science with a focus on data engineering

• Worked as a Data Engineer at XYZ Company, where I developed and maintained data pipelines

• Implemented data quality checks and automated data validation processes

• Collaborated with cross-functional teams to design and implement scalable data solutions

• Experience with clo...read more
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Q2. Tell me why Facebook?
Ans. 
Facebook is a leading social media platform with vast user base and cutting-edge technology.
• Facebook has over 2.8 billion monthly active users, providing a massive data source for analysis and engineering.

• The company has a strong focus on innovation and constantly develops new technologies and tools.

• Facebook's data infrastructure is highly advanced, allowing for complex data processing and analysis.

• Working at Facebook ...read more
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Q3. Do you know what is Spark?
Ans. 
Spark is a distributed computing framework used for big data processing.
• Spark is an open-source project under Apache Software Foundation.

• It can process data in real-time and batch mode.

• Spark provides APIs for programming in Java, Scala, Python, and R.

• It can be used for various big data processing tasks like machine learning, graph processing, and SQL queries.

• Spark uses in-memory processing for faster data processing.
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Coding questions on SQL - given 2 tables, join and find the results after the join