Goldman Sachs Senior Data Engineer Interview Questions and Answers

Python and Spark code

Q1. Spark and Cloud question
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Q1. Based on client interview
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Q1. HR question and salary discussion.
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Q1. Basics of SQL python
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Python sql skills were tested and candidates are selected

It is nice to do work

It helps in understanding the 5

It helps a lot in company

Q1. How to do job in company?
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Q2. What I should do?
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Q3. How to do work?
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Q4. What should I do
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Q5. What is the goal?
Ans. 
The goal of a Data Analyst is to analyze data to extract valuable insights and make data-driven decisions.
• Identify trends and patterns in data

• Create visualizations to communicate findings

• Provide actionable recommendations based on data analysis
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Q1. Explain advantages of Angular
Ans. 
Angular offers advantages such as two-way data binding, dependency injection, and modular architecture.
• Two-way data binding allows automatic synchronization of data between the model and the view, reducing the need for manual DOM manipulation.

• Dependency injection helps manage dependencies and promotes code reusability by allowing components to be easily injected with their dependencies.

• Modular architecture enables deve...read more
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Q2. Explain about ngmodel
Ans. 
ngModel is a directive in AngularJS that binds the value of HTML controls to application data.
• ngModel is used for two-way data binding in AngularJS.

• It can be used with input, select, textarea, and custom form controls.

• Example:
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Q1. Java coding questions
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Q2. Core java and spring questions
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Q1. Salary expectation
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Q1. Project related discussions
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Q2. Meduim level SQl and DSA
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Q1. This was data modelling round
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Q2. Design a uber data model
Ans. 
Uber data model design for efficient storage and retrieval of ride-related information.
• Create tables for users, drivers, rides, payments, and ratings

• Include attributes like user_id, driver_id, ride_id, payment_id, rating_id, timestamp, location, fare, etc.

• Establish relationships between tables using foreign keys

• Implement indexing for faster query performance
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First round will be aptitude test

Q1. Why should I hire you
Ans. 
I have a strong analytical background, excellent problem-solving skills, and a proven track record of delivering actionable insights.
• I have a degree in data analytics and relevant work experience

• I am proficient in statistical analysis and data visualization tools such as Python, R, and Tableau

• I have successfully completed projects where I identified trends and patterns in data to drive business decisions
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Q2. Tell me about your self
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Q1. Salary expectation
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Q2. Position of the candidate
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Q1. Scenario based Pega technical questions.
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Q2. According to your work experience I had tackled them
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Q1. Scenario based questions with hardness level increased. Normally Manager takes it.
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Q1. Salary discussions
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Q1. Present yourself
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Q2. Asks about level of experience in each tachnology in the CV
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