Hindustan Unilever Data Engineer Interview Questions and Answers

Q1. Explaination of current project architecture, Cloud services used in project and purpose of using them. Architecture of Spark,Hive
Ans. 
Our project architecture uses Spark and Hive for data processing and storage respectively. We utilize AWS services such as S3, EMR, and Glue for scalability and cost-effectiveness.
• Spark is used for distributed data processing and analysis

• Hive is used for data warehousing and querying

• AWS S3 is used for storing large amounts of data

• AWS EMR is used for running Spark and Hive clusters

• AWS Glue is used for ETL (Extract, Tran...read more
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Q2. Python vs Java advantages and disadvantages,Kubernetes
Ans. 
Python is more flexible and easier to learn, while Java is more performant and better for large-scale projects. Kubernetes is a popular container orchestration tool.
• Python is more concise and easier to read/write than Java

• Java is more performant and better for large-scale projects

• Kubernetes is a popular container orchestration tool used for managing containerized applications

• Kubernetes provides features like automatic ...read more
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Nothing in my point of view

Nothing in tmy point of view

Nothing in my point of view

Q1. What is your strength
Ans. 
My greatest strength is my problem-solving skills and ability to think analytically.
• Strong problem-solving skills

• Analytical thinking

• Ability to think creatively

• Attention to detail

• Effective communication
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Q2. What is your weakness
Ans. 
My greatest weakness is sometimes struggling with time management and prioritizing tasks effectively.
• I tend to take on too many tasks at once, leading to feeling overwhelmed

• I am working on improving my ability to delegate tasks to others when necessary

• I have started using time management tools and techniques to help me stay organized
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Q1. How you deal with deadlines
Ans. 
I prioritize tasks, set realistic goals, communicate with stakeholders, and adjust plans as needed to meet deadlines.
• Prioritize tasks based on importance and urgency

• Break down tasks into smaller manageable chunks

• Regularly communicate with stakeholders to provide updates and manage expectations

• Adjust plans and resources as needed to meet deadlines

• Use tools like project management software to track progress and deadlines
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Q2. What is you expectation carrer
Ans. 
I expect to advance my career by gaining more experience, taking on challenging projects, and eventually moving into a leadership role.
• Continuously learning new technologies and skills

• Seeking out opportunities for growth and advancement within the company

• Building a strong professional network

• Setting clear career goals and working towards achieving them

• Example: Completing certifications or advanced degrees to enhance my
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Q1. Overview of technical background
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Q1. What is data analysis?
Ans. 
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making.
• Data analysis involves examining raw data to find patterns, trends, and insights.

• It includes cleaning and organizing data, performing statistical analysis, and creating visualizations.

• Data analysis helps businesses make informed decisions, improve processes,...read more
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Q2. What stack have you worked with
Ans. 
I have worked with a variety of stacks including Python, SQL, Tableau, and Excel for data analysis.
• Python

• SQL

• Tableau

• Excel
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1. Asked programming basics concepts
2. Asked opps concepts
3. Asked write a code on logical qun
4. Asked to write program on data type based qun
5. Asked all opps concepts with program example

Q1. 1. Asked project related qun
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Q1. 1. Asked process oriented qun
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Q1. 1. Salary expectation
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