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IBM Gcp Data Engineer Interview Questions and Answers

Updated 24 Nov 2022

IBM Gcp Data Engineer Interview Experiences

1 interview found

I applied via LinkedIn and was interviewed before Nov 2021. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. Ask about the GCP Projects we did before
Round 3 - Technical 

(1 Question)

  • Q1. Managerial questions with salary discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and try to elaborate your projects. Easy to get into IBM.

Interview questions from similar companies

I applied via Naukri.com and was interviewed before Nov 2021. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all Resume tips
Round 2 - Technical 

(2 Questions)

  • Q1. Explain Google cloud bigquery architecture?
  • Ans. 

    Google Cloud BigQuery is a fully-managed, serverless data warehouse that uses a distributed architecture for processing and analyzing large datasets.

    • BigQuery uses a distributed storage system called Capacitor for storing and managing data.

    • It uses a distributed query engine called Dremel for executing SQL-like queries on large datasets.

    • BigQuery separates storage and compute, allowing users to scale compute resources ind...

  • Answered by AI
  • Q2. Python: list and Tupple differences
  • Ans. 

    List and tuple are both used to store collections of data, but they have some differences.

    • Lists are mutable while tuples are immutable

    • Lists use square brackets [] while tuples use parentheses ()

    • Lists are typically used for collections of homogeneous data while tuples are used for heterogeneous data

    • Lists have more built-in methods than tuples

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Capgemini Gcp Data Engineer interview:
  • Bigquery
  • Python
  • SQL
  • Terraform
  • SDLC
Interview preparation tips for other job seekers - Prepare well for SQL, Python and GCP Bigquery best practices in detail

Skills evaluated in this interview

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

(6 Questions)

  • Q1. SQL: Find keys present in table A but not in B(B is old copy of A)
  • Ans. 

    Use SQL to find keys present in table A but not in table B (old copy of A).

    • Use a LEFT JOIN to combine tables A and B based on the key column

    • Filter the results where the key column in table B is NULL

    • This will give you the keys present in table A but not in table B

  • Answered by AI
  • Q2. SQL: 4th highest salary
  • Q3. Case Study: Using GCP's tool make a pipeline to transfer file from one GCS bucket to another
  • Ans. 

    Use GCP Dataflow to transfer files between GCS buckets

    • Create a Dataflow pipeline using Apache Beam to read from source bucket and write to destination bucket

    • Use GCS connector to read and write files in Dataflow pipeline

    • Set up appropriate permissions for Dataflow service account to access both buckets

  • Answered by AI
  • Q4. Case Study: A new joiner in IT, how will you explain flow of project and ownership of work. Considering my YOE 3 years
  • Q5. Explain your project, and reasons behind why did you choose airflow over other orchestration tool.
  • Q6. Discuss other orchestration tool in GCP
  • Ans. 

    Cloud Composer is another orchestration tool in GCP

    • Cloud Composer is a fully managed workflow orchestration service built on Apache Airflow

    • It allows you to author, schedule, and monitor workflows that span across GCP services

    • Cloud Composer provides a rich set of features like DAGs, plugins, and monitoring capabilities

    • It integrates seamlessly with other GCP services like BigQuery, Dataflow, and Dataproc

  • Answered by AI

Skills evaluated in this interview

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

(4 Questions)

  • Q1. Which of these 2 select * from table and select * from table limit 100 is faster
  • Ans. 

    select * from table limit 100 is faster

    • Using 'select * from table' retrieves all rows from the table, which can be slower if the table is large

    • Using 'select * from table limit 100' limits the number of rows retrieved, making it faster

    • Limiting the number of rows fetched can improve query performance

  • Answered by AI
  • Q2. Explain scd and Merge in bigquery
  • Ans. 

    SCD stands for Slowly Changing Dimension and Merge is a SQL operation used to update or insert data in BigQuery.

    • SCD is used to track changes to data over time in a data warehouse

    • Merge in BigQuery is used to perform insert, update, or delete operations in a single statement

    • Example: MERGE INTO target_table USING source_table ON condition WHEN MATCHED THEN UPDATE SET col1 = value1 WHEN NOT MATCHED THEN INSERT (col1, col2)

  • Answered by AI
  • Q3. Architecture of bigquery
  • Ans. 

    BigQuery is a fully managed, serverless data warehouse that enables scalable analysis over petabytes of data.

    • BigQuery uses a columnar storage format for efficient querying.

    • It supports standard SQL for querying data.

    • BigQuery allows for real-time data streaming for analysis.

    • It integrates with various data sources like Google Cloud Storage, Google Sheets, etc.

    • BigQuery provides automatic scaling and high availability.

  • Answered by AI
  • Q4. Dataflow function to split sentence
  • Ans. 

    Dataflow function to split sentence

    • Use the Split transform in Dataflow to split the sentence into words

    • Apply ParDo function to process each word individually

    • Use regular expressions to handle punctuation and special characters

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(7 Questions)

  • Q1. Explain your project
  • Ans. 

    Developed a data pipeline to ingest, process, and analyze customer feedback data for a retail company.

    • Used Google Cloud Platform services like BigQuery, Dataflow, and Pub/Sub for data processing.

    • Implemented data cleansing and transformation techniques to ensure data quality.

    • Created visualizations and dashboards using tools like Data Studio for stakeholders to easily interpret the data.

  • Answered by AI
  • Q2. GCP bigquery architecture
  • Q3. Gcp object versioning
  • Q4. Gcp storage class types
  • Ans. 

    GCP offers different storage classes for varying performance and cost requirements.

    • Standard Storage: for frequently accessed data

    • Nearline Storage: for data accessed less frequently

    • Coldline Storage: for data accessed very infrequently

    • Archive Storage: for data stored for long-term retention

  • Answered by AI
  • Q5. Sql optimisation techniques
  • Ans. 

    SQL optimization techniques focus on improving query performance by reducing execution time and resource usage.

    • Use indexes to speed up data retrieval

    • Avoid using SELECT * and instead specify only the columns needed

    • Optimize joins by using appropriate join types and conditions

    • Limit the use of subqueries and instead use JOINs where possible

    • Use EXPLAIN to analyze query execution plans and identify bottlenecks

  • Answered by AI
  • Q6. Sql coding date format and joins related questions
  • Q7. Partitioning and cluster by
Round 2 - One-on-one 

(2 Questions)

  • Q1. Advanced sql recursive cte and python code using lambda function to explode the list
  • Q2. Project explanation and daily activity and challenge faced in project

Interview Preparation Tips

Topics to prepare for Tech Mahindra Gcp Data Engineer interview:
  • SQL
  • PYSPARK
  • GCP
  • PYTHON
Interview preparation tips for other job seekers - Practice SQL and Python coding extensively; they are evaluating our problem-solving approach and logic, as well as the depth of knowledge we possess.

I applied via Naukri.com and was interviewed in Apr 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. GCP Services, What is use of Bigquery? What is Pubsub,Dataflow,cloud storage. Question related previous roles and responsibility.
  • Ans. 

    Bigquery is a cloud-based data warehousing tool used for analyzing large datasets quickly. Pubsub is a messaging service, Dataflow is a data processing tool, and Cloud Storage is a scalable object storage service.

    • Bigquery is used for analyzing large datasets quickly

    • Pubsub is a messaging service used for asynchronous communication between applications

    • Dataflow is a data processing tool used for batch and stream processin...

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. What is your Salary expectations?

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well all basics of Google Cloud services.

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Questions on BigQuery, SQL, GCP data services which you have worked on
  • Q2. Python small coding question and one SQL query
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(5 Questions)

  • Q1. What is windows function bigquery
  • Ans. 

    Window functions in BigQuery are used to perform calculations across a set of table rows related to the current row.

    • Window functions allow you to perform calculations on a set of rows related to the current row

    • They are used with the OVER() clause in SQL queries

    • Common window functions include ROW_NUMBER(), RANK(), and NTILE()

    • They can be used to calculate moving averages, cumulative sums, and more

  • Answered by AI
  • Q2. What types on nosql databases in gcp
  • Ans. 

    Types of NoSQL databases in GCP include Firestore, Bigtable, and Datastore.

    • Firestore is a flexible, scalable database for mobile, web, and server development.

    • Bigtable is a high-performance NoSQL database service for large analytical and operational workloads.

    • Datastore is a highly scalable NoSQL database for web and mobile applications.

  • Answered by AI
  • Q3. Write code to find max number of product by customer
  • Ans. 

    Code to find max number of product by customer

    • Iterate through each customer's purchases

    • Keep track of the count of each product for each customer

    • Find the product with the maximum count for each customer

  • Answered by AI
  • Q4. Read dataframe python and pyspark
  • Q5. Create dataframe
  • Ans. 

    Creating a dataframe in GCP Data Engineer

    • Use the pandas library to create a dataframe

    • Provide data in the form of a dictionary or list of lists

    • Specify column names if needed

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

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

Round 1 - Technical 

(3 Questions)

  • Q1. String is palindrome or not
  • Ans. 

    Check if a string is a palindrome or not

    • Compare the string with its reverse to check for palindrome

    • Ignore spaces and punctuation marks when comparing

    • Examples: 'racecar' is a palindrome, 'hello' is not

  • Answered by AI
  • Q2. Create gcs bucket using python
  • Ans. 

    Use Python to create a GCS bucket

    • Import the necessary libraries like google.cloud.storage

    • Authenticate using service account credentials

    • Use the library functions to create a new bucket

  • Answered by AI
  • Q3. Write a python code to trigger a dataflow job in cloud function
  • Ans. 

    Python code to trigger a dataflow job in cloud function

    • Use the googleapiclient library to interact with the Dataflow API

    • Authenticate using service account credentials

    • Submit a job to Dataflow using the projects.locations.templates.launch endpoint

  • Answered by AI

Skills evaluated in this interview

I applied via Walk-in and was interviewed in Mar 2022. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. What is big query, topics on python

Interview Preparation Tips

Interview preparation tips for other job seekers - GCP, python, big query airflow and also using python scripting
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IBM Interview FAQs

How many rounds are there in IBM Gcp Data Engineer interview?
IBM interview process usually has 3 rounds. The most common rounds in the IBM interview process are Technical and Resume Shortlist.

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