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IBM Data Engineer Interview Questions and Answers

Updated 21 Jan 2025

29 Interview questions

A Data Engineer was asked 7mo ago
Q. Write an SQL query using CTEs and joins.
Ans. 

Using CTEs and joins in SQL helps simplify complex queries and improve readability.

  • CTE (Common Table Expression) is defined using WITH clause, making queries modular.

  • Joins combine rows from two or more tables based on related columns.

  • Example of CTE: WITH SalesCTE AS (SELECT * FROM Sales) SELECT * FROM SalesCTE WHERE Amount > 1000.

  • Example of JOIN: SELECT a.*, b.* FROM TableA a JOIN TableB b ON a.id = b.a_id.

A Data Engineer was asked 7mo ago
Q. What is DataStage?
Ans. 

Datastage is an ETL tool used for extracting, transforming, and loading data from various sources to a target destination.

  • Datastage is a popular ETL tool developed by IBM.

  • It allows users to design and run jobs that move and transform data.

  • Datastage supports various data sources such as databases, flat files, and cloud services.

  • It provides a graphical interface for designing data integration jobs.

  • Datastage jobs can...

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A Data Engineer was asked 8mo ago
Q. Tell me about your overall IT experience.
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 d...

A Data Engineer was asked 9mo ago
Q. What components are used in graphs to remove duplicates?
Ans. 

Components used in graphs to remove duplicates include HashSet and HashMap.

  • Use HashSet to store unique elements

  • Use HashMap to store key-value pairs with unique keys

  • Iterate through the graph and add elements to HashSet or HashMap to remove duplicates

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A Data Engineer was asked 9mo ago
Q. How many graphs have you built?
Ans. 

I have built 10 graphs so far, including network graphs, bar graphs, and pie charts.

  • I have built 10 graphs in total

  • I have experience building network graphs, bar graphs, and pie charts

  • I have used tools like matplotlib and seaborn for graph building

🔥 Asked by recruiter 2 times
A Data Engineer was asked 9mo ago
Q. How do you handle escalations?
Ans. 

I address escalations by identifying the root cause, communicating effectively, collaborating with stakeholders, and finding a resolution.

  • Identify the root cause of the escalation to understand the issue thoroughly

  • Communicate effectively with all parties involved to ensure clarity and transparency

  • Collaborate with stakeholders to gather necessary information and work towards a resolution

  • Find a resolution that addre...

A Data Engineer was asked 10mo ago
Q. What is a 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...

Are these interview questions helpful?
A Data Engineer was asked 12mo ago
Q. What is the 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

A Data Engineer was asked
Q. What are the key differences between the two?
Ans. 

The difference between the two is the key factor that sets them apart.

  • Data Engineer focuses on designing and maintaining data pipelines and infrastructure for data storage and processing.

  • Data Scientist focuses on analyzing and interpreting complex data to provide insights and make data-driven decisions.

  • Data Engineer typically works on building and optimizing data pipelines using tools like Apache Spark or Hadoop.

  • D...

A Data Engineer was asked
Q. What do you know about Forms and Templates and their use in workflow and web reports?
Ans. 

Forms and Templates are used in workflow and web reports to standardize data input and presentation.

  • Forms are used to collect data in a structured manner, often with predefined fields and formats

  • Templates are pre-designed layouts for presenting data in a consistent way

  • Forms and Templates help streamline processes, ensure data consistency, and improve reporting accuracy

  • In workflow management, Forms can be used to g...

IBM Data Engineer Interview Experiences

41 interviews found

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 11 Dec 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. About python, sql, pyspark
  • Q2. Spark Architecture.
Round 2 - HR 

(2 Questions)

  • Q1. When can you join.
  • Ans. 

    I can join within two weeks of receiving an offer.

    • I can start within two weeks of receiving an offer.

    • I need to give notice at my current job before starting.

    • I have some personal commitments that I need to wrap up before joining.

  • Answered by AI
  • Q2. .

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 14 Nov 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. What is datastage
  • Ans. 

    Datastage is an ETL tool used for extracting, transforming, and loading data from various sources to a target destination.

    • Datastage is a popular ETL tool developed by IBM.

    • It allows users to design and run jobs that move and transform data.

    • Datastage supports various data sources such as databases, flat files, and cloud services.

    • It provides a graphical interface for designing data integration jobs.

    • Datastage jobs can be s...

  • Answered by AI
  • Q2. What is RCP in datastage
  • Ans. 

    RCP in DataStage stands for Runtime Column Propagation.

    • RCP is a feature in IBM DataStage that allows the runtime engine to determine the columns that are needed for processing at runtime.

    • It helps in optimizing the job performance by reducing unnecessary column processing.

    • RCP can be enabled or disabled at the job level or individual stage level.

    • Example: By enabling RCP, DataStage can dynamically propagate only the requi...

  • Answered by AI

Skills evaluated in this interview

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 19 Jul 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Questions on python basics and scenario based question on python dict.
  • Q2. Explanation of project
  • Ans. 

    Developed a data pipeline for processing and analyzing large datasets to improve business intelligence and decision-making.

    • Designed ETL processes to extract data from various sources like APIs and databases.

    • Utilized Apache Spark for data processing, enabling real-time analytics.

    • Implemented data warehousing solutions using Amazon Redshift for efficient querying.

    • Created dashboards in Tableau for visualizing key performan...

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. Explanation of project done so far
  • Ans. 

    Developed a data pipeline for processing and analyzing large datasets in a cloud environment to support business intelligence.

    • Designed ETL processes using Apache Airflow to automate data extraction from various sources.

    • Implemented data warehousing solutions using Amazon Redshift for efficient querying and reporting.

    • Utilized Python and SQL for data transformation and cleaning, ensuring data quality and integrity.

    • Collabo...

  • Answered by AI
  • Q2. Technical skills I have and further plans if I have any in terms of certification
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

- - - - --- --

Round 2 - Technical 

(2 Questions)

  • Q1. Previous Experiences
  • Q2. Cloud Experiences, CICD

Data Engineer Interview Questions & Answers

user image Jharna Shivlani

posted on 16 Dec 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • 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...

  • Answered by AI

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 28 Sep 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • 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
  • 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

Data Engineer Interview Questions & Answers

user image Sidharth Pani

posted on 16 Jun 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • 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
Round 2 - Technical 

(1 Question)

  • 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...

  • Answered by AI

Skills evaluated in this interview

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 25 Oct 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • 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
  • Q2. Explain the current project you are working on

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 22 Aug 2024

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - HR 

(1 Question)

  • 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

Data Engineer Interview Questions & Answers

user image Tribhuvan Bisht

posted on 5 Nov 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

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

IBM Interview FAQs

How many rounds are there in IBM Data Engineer interview?
IBM interview process usually has 2-3 rounds. The most common rounds in the IBM interview process are Technical, One-on-one Round and Resume Shortlist.
How to prepare for IBM Data Engineer interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at IBM. The most common topics and skills that interviewers at IBM expect are Python, SQL, Big Data, Unix Shell Scripting and Interpersonal Skills.
What are the top questions asked in IBM Data Engineer interview?

Some of the top questions asked at the IBM Data Engineer interview -

  1. 1) How to handle data skewness in spar...read more
  2. 5) How to create a kafka topic with replication facto...read more
  3. 4) How to read json data using sp...read more
How long is the IBM Data Engineer interview process?

The duration of IBM Data Engineer interview process can vary, but typically it takes about less than 2 weeks to complete.

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