Uber Senior Data Engineer Interview Questions and Answers for Experienced

1. PEAK ELEMENT QUESTION.
2. COIN DENOMINATION

Q1. Cloud Engineering profile needs detailed knowledge on cloud operations and security. It also need’s infrastructure to be setup and architected to decide on which cloud to be setup like private ,public or h...read more
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Q2. Salary package for me
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Q3. 1.5 Cr with US base office location for me - Chaitra S Kulkarni
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Q4. I need new profile to grow for this upcoming IT world like RSA Cloud and JIO Cloud
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Q5. Need company to be tied with Indian government
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Q6. Needs attention from Karnataka government
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SQL - shared question on the screen and asked to code in SQL

Q1. Nth highes salary
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Q1. What’s your previous experience
Ans. 
I have 3 years of experience as a data analyst in the finance industry.
• Worked with large datasets to extract meaningful insights

• Performed data cleaning, transformation, and visualization

• Created and maintained dashboards and reports for stakeholders

• Conducted statistical analysis and built predictive models

• Collaborated with cross-functional teams to identify business opportunities
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Q2. What’s your skills for the current role
Ans. 
I have strong skills in data analysis, including proficiency in statistical analysis, data visualization, and programming languages such as Python and SQL.
• Proficient in statistical analysis techniques

• Skilled in data visualization using tools like Tableau

• Strong programming skills in Python and SQL

• Experience with data cleaning and preprocessing

• Ability to interpret and communicate insights from data

• Familiarity with machin...read more
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Q1. SQL Query writing in 30 minutes
Ans. 
The question is about SQL query writing in 30 minutes.
• Understand the requirements and constraints of the query

• Identify the tables and columns needed

• Write the SQL query using appropriate syntax and functions

• Test the query with sample data to ensure accuracy
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Q2. Past Achievements in the project
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Design and code a parking lot application

Q1. Past work and digging around that. few changes in past work and how to implement them.
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Q1. How to ensure that there is no data corruption when data is being streamed and processed asynchronously
Ans. 
To ensure no data corruption during asynchronous streaming and processing, use data validation, error handling, and checksums.
• Implement data validation techniques to check the integrity of the streamed data.

• Handle errors and exceptions properly to prevent data corruption.

• Use checksums or hash functions to verify the integrity of the data.

• Implement reliable communication protocols like TCP/IP to ensure data integrity.

• Co...read more
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