Larsen & Toubro Group Data Engineer Interview Questions and Answers

Prepare for general aptitude test

Q1. Tell me about yourself
Ans. 
I am a data engineer with a strong background in programming and data analysis.
• Experienced in designing and implementing data pipelines

• Proficient in SQL, Python, and big data technologies like Hadoop and Spark

• Skilled in data modeling and optimization techniques

• Worked on projects involving ETL processes and data warehousing
Answered by AI
Add your answer
Q2. Explain the project
Ans. 
Developed a data pipeline to ingest, clean, and analyze customer feedback data for product improvement.
• Created ETL processes to extract data from various sources

• Implemented data cleaning and transformation techniques

• Utilized machine learning algorithms for sentiment analysis

• Generated visualizations and reports for stakeholders
Answered by AI
Add your answer

Q1. CTC discussion based on your skills
Add your answer
Q2. Work related queries if you have.
Add your answer

Q1. ETL Process/ python technical and pyspark technical interview question.
Add your answer
Q2. Difference between broadcast variable and and global variable in pyspark
Ans. 
Broadcast variables are used to efficiently distribute large read-only data to all worker nodes, while global variables are shared across all tasks in a Spark job.
• Broadcast variables are used for distributing large read-only data efficiently to all worker nodes.

• Global variables are shared across all tasks in a Spark job.

• Broadcast variables are used for caching data that is reused across multiple stages of a job.

• Global ...read more
Answered by AI
Add your answer

Q1. Salary negotiation
Add your answer