Fujitsu Senior Data Engineer Interview Questions and Answers

Q1. Tell about experience
Ans. 
I have over 5 years of experience in data engineering, working with large datasets and implementing data pipelines.
• Developed and maintained ETL processes to extract, transform, and load data from various sources

• Optimized database performance and implemented data quality checks

• Worked with cross-functional teams to design and implement data solutions

• Utilized tools such as Apache Spark, Hadoop, and SQL for data processing

• ...read more
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Q2. What would you do when you are given a new task to do
Ans. 
I would start by understanding the requirements, breaking down the task into smaller steps, researching if needed, and then creating a plan to execute the task efficiently.
• Understand the requirements of the task

• Break down the task into smaller steps

• Research if needed to gather necessary information

• Create a plan to execute the task efficiently

• Communicate with stakeholders for clarification or updates

• Regularly track prog
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Duration 45 minutes
Asked basic DSA questions (Arrays, String)

Q1. Oops concepts, spark related questions, challenges with the current project
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Q2. Spark Optimisation technique
Ans. 
Spark optimisation techniques focus on improving performance and efficiency of Spark jobs.
• Use partitioning to distribute data evenly

• Cache intermediate results to avoid recomputation

• Optimize shuffle operations to reduce data movement

• Use broadcast variables for small lookup tables

• Tune memory and executor settings for optimal performance
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Q1. Details about project, ML and statistic related term, Designing ETL pipeline
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