Lazada Data Engineer Interview Questions and Answers for Experienced

Easy and medium level questions on array linked list

Q1. Js question with code snippets
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Given some ant ui design to reacreate from scretch

Q1. Asked system design for online movie booking plateform
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Q1. Create pagination component using an api show the data for the pages
Ans. 
Create a pagination component using an API to display data for different pages.
• Use API to fetch data for each page

• Implement pagination logic to display data for each page

• Allow users to navigate between pages
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SQL and Python data analysis questions

Q1. How do you match the data in different columns.
Ans. 
Matching data in different columns involves comparing the values in the columns and identifying similarities or patterns.
• Use string matching techniques like exact match, partial match, or fuzzy matching.

• Apply data cleaning and preprocessing techniques to standardize the data before matching.

• Utilize advanced algorithms like Levenshtein distance or Jaccard similarity for more complex matching.

• Consider using database join...read more
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It was demure and well balanced.

Q1. Databases based on resume.
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Q2. Sql based questions
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Q1. Sql based question
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Q2. Resume and intern experiences.
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First round was coding test in online mode which was quite easy.

Q1. In the 2nd round they asked the technical questions from SQL , simple coding questions.
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Questions from arrays and strings and some aptitude questions

Q1. How to merge 2 csv files
Ans. 
To merge two CSV files, you can use software like Microsoft Excel or programming languages like Python.
• Open both CSV files in a software like Microsoft Excel.

• Copy the data from one CSV file and paste it into the other CSV file.

• Save the merged CSV file with a new name.

• Alternatively, you can use programming languages like Python to merge CSV files by reading both files, combining the data, and writing to a new file.
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Q2. Basic questions on arrays
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Q1. 3 reasons why u choose this company
Ans. 
I applied to this company because of its reputation in the industry, opportunities for growth, and company culture.
• Reputation in the industry - I have heard great things about the company's innovative projects and successful track record.

• Opportunities for growth - The company offers various training programs and career advancement opportunities for employees.

• Company culture - I value a positive work environment and the...read more
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Q1. Questions on python
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I was asked a medium-level SQL question that involved the RANK function.