IBM Data Engineer Interview Questions, Process, and Tips

Q1. Snowflake's Architecture
Ans. 
Snowflake is a cloud-based data warehousing platform that separates storage and compute, providing scalability and flexibility.
• Snowflake uses a unique architecture called multi-cluster, shared data architecture.

• It separates storage and compute, allowing users to scale each independently.

• Data is stored in virtual warehouses, which are compute resources that can be scaled up or down based on workload.

• Snowflake uses a cen...read more
Answered by AI
Add your answer

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 programming languages like Python, SQL, and Java

• Skilled in data modeling and database management

• Familiar with big data technologies such as Hadoop and Spark
Answered by AI
Add your answer
Q2. Tell me about your last project
Ans. 
Developed a data pipeline to process and analyze customer feedback data
• Used Apache Spark for data processing

• Implemented machine learning models for sentiment analysis

• Visualized insights using Tableau for stakeholders

• Collaborated with cross-functional teams to improve customer experience
Answered by AI
Add your answer

Q1. Difference between row_number and dense_rank
Ans. 
row_number assigns unique sequential integers to rows, while dense_rank assigns ranks to rows with no gaps between ranks.
• row_number function assigns a unique sequential integer to each row in the result set

• dense_rank function assigns ranks to rows with no gaps between ranks

• row_number does not handle ties, while dense_rank does

• Example: row_number - 1, 2, 3, 4; dense_rank - 1, 2, 2, 3
Answered by AI
Add your answer

Q1. Advantages and disadvantages of Hive?
Ans. 
Hive is a data warehouse infrastructure built on top of Hadoop for providing data summarization, query, and analysis.
• Advantages: SQL-like query language for querying large datasets, optimized for OLAP workloads, supports partitioning and bucketing for efficient queries.

• Disadvantages: Slower performance compared to traditional databases for OLTP workloads, limited support for complex queries and transactions.

• Example: Hi...read more
Answered by AI
Add your answer

Q1. Tell me about overall IT experiance
Ans. 
I have over 5 years of experience in IT, with a focus on data engineering and database management.
• Worked on designing and implementing data pipelines to extract, transform, and load data from various sources

• Managed and optimized databases for performance and scalability

• Collaborated with cross-functional teams to develop data-driven solutions

• Experience with tools like SQL, Python, Hadoop, and Spark

• Participated in data m
Answered by AI
Add your answer
Q2. Explain the current project you are working on
Add your answer

Q1. What is broadcast variable
Ans. 
Broadcast variable is a read-only variable that is cached on each machine in a cluster instead of being shipped with tasks.
• Broadcast variables are used to efficiently distribute large read-only datasets to worker nodes in Spark applications.

• They are cached in memory on each machine and can be reused across multiple stages of a job.

• Broadcast variables help in reducing the amount of data that needs to be transferred over
Answered by AI
Add your answer

1 hour coding test with 1 coding question and 1 SQL question. Coding question was average, easy to solve. SQL question was very easy.