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Cognizant Gcp Data Engineer Interview Questions, Process, and Tips

Updated 25 Feb 2025

Top Cognizant Gcp Data Engineer Interview Questions and Answers

  • Q1. GCP Services, What is use of Bigquery? What is Pubsub,Dataflow,cloud storage. Question related previous roles and responsibility.
  • Q2. What is GCP Bigquery, Architecture of BQ, Cloud composer, What Is DAG . Visualization studio like Looker, data studio.
  • Q3. bq commands on show the schema of the table
View all 12 questions

Cognizant Gcp Data Engineer Interview Experiences

4 interviews found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I was interviewed in Jan 2025.

Round 1 - Technical 

(8 Questions)

  • Q1. Self intro and project architecture
  • Q2. What are the data sources used?
  • Ans. 

    Various data sources such as databases, APIs, files, and streaming services are used for data ingestion and processing.

    • Databases (e.g. MySQL, PostgreSQL)

    • APIs (e.g. RESTful APIs)

    • Files (e.g. CSV, JSON)

    • Streaming services (e.g. Kafka, Pub/Sub)

  • Answered by AI
  • Q3. Bigquery architecture
  • Q4. Partition vs clustering
  • Ans. 

    Partitioning is dividing data into smaller chunks for efficient storage and retrieval, while clustering is organizing data within those partitions based on a specific column.

    • Partitioning is done at the storage level to distribute data across multiple nodes for better performance.

    • Clustering is done at the query level to physically group data based on a specific column, improving query performance.

    • Example: Partitioning b...

  • Answered by AI
  • Q5. Bq commands on create table and load csv file
  • Ans. 

    Using bq commands to create a table and load a CSV file in Google BigQuery

    • Use 'bq mk' command to create a new table in BigQuery

    • Use 'bq load' command to load a CSV file into the created table

    • Specify schema and source format when creating the table

    • Specify source format and destination table when loading the CSV file

    • Example: bq mk --table dataset.table_name schema.json

    • Example: bq load --source_format=CSV dataset.table_nam

  • Answered by AI
  • Q6. Bq commands on show the schema of the table
  • Ans. 

    Use 'bq show' command to display the schema of a table in BigQuery.

    • Use 'bq show' command followed by the dataset and table name to display the schema.

    • The schema includes the column names, data types, and mode (nullable or required).

    • Example: bq show project_id:dataset.table_name

  • Answered by AI
  • Q7. Explain about leaf nodes and columnar storage.
  • Ans. 

    Leaf nodes are the bottom nodes in a tree structure, while columnar storage stores data in columns rather than rows.

    • Leaf nodes are the end nodes in a tree structure, containing actual data or pointers to data.

    • Columnar storage stores data in columns rather than rows, allowing for faster query performance on specific columns.

    • Columnar storage is commonly used in data warehouses and analytics databases.

    • Leaf nodes are impor...

  • Answered by AI
  • Q8. How many slots are there in bigquery?
  • Ans. 

    BigQuery does not have fixed slots, it dynamically allocates resources based on the query requirements.

    • BigQuery does not have a fixed number of slots like traditional databases.

    • It dynamically allocates resources based on the query requirements.

    • The number of slots available for a query can vary depending on the complexity and size of the query.

    • BigQuery's serverless architecture allows it to scale automatically to handle

  • Answered by AI
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(6 Questions)

  • Q1. What are the GCP services used in your project
  • Ans. 

    The GCP services used in our project include BigQuery, Dataflow, Pub/Sub, and Cloud Storage.

    • BigQuery for data warehousing and analytics

    • Dataflow for real-time data processing

    • Pub/Sub for messaging and event ingestion

    • Cloud Storage for storing data and files

  • Answered by AI
  • Q2. What is cloud function
  • Ans. 

    Cloud Functions are event-driven functions that run in response to cloud events.

    • Serverless functions that automatically scale based on demand

    • Can be triggered by events from various cloud services

    • Supports multiple programming languages like Node.js, Python, etc.

  • Answered by AI
  • Q3. How to shedule job to trigger every hr in Airflow
  • Ans. 

    To schedule a job to trigger every hour in Airflow, you can use the Cron schedule interval

    • Define a DAG (Directed Acyclic Graph) in Airflow

    • Set the schedule_interval parameter to '0 * * * *' to trigger the job every hour

    • Example: schedule_interval='0 * * * *'

  • Answered by AI
  • Q4. Bigquey architecture
  • Q5. How display string in reverse using python
  • Ans. 

    Use Python's slicing feature to display a string in reverse order.

    • Use string slicing with a step of -1 to reverse the string.

    • Example: 'hello'[::-1] will output 'olleh'.

  • Answered by AI
  • Q6. What is pub sub and where are you getting used in your project.
  • Ans. 

    Pub/Sub is a messaging service that allows communication between independent applications.

    • Pub/Sub is used for real-time messaging and event-driven systems.

    • It is commonly used for data ingestion, streaming analytics, and event-driven architectures.

    • Examples of Pub/Sub services include Google Cloud Pub/Sub, Apache Kafka, and Amazon SNS/SQS.

  • Answered by AI

Gcp Data Engineer Interview Questions Asked at Other Companies

asked in Cognizant
Q1. GCP Services, What is use of Bigquery? What is Pubsub,Dataflow,cl ... read more
asked in Accenture
Q2. what is Iam what is sa what is bigquery various optimisations joi ... read more
asked in 66degrees
Q3. How to migrate the datawarehouse with gcp services using real tim ... read more
asked in Capgemini
Q4. Explain Google cloud bigquery architecture?
asked in Cognizant
Q5. What is GCP Bigquery, Architecture of BQ, Cloud composer, What Is ... read more
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Nov 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. What is GCP Bigquery, Architecture of BQ, Cloud composer, What Is DAG . Visualization studio like Looker, data studio.
  • Ans. 

    GCP BigQuery is a serverless, highly scalable, and cost-effective data warehouse for analyzing big data sets.

    • BigQuery is a fully managed, petabyte-scale data warehouse that enables super-fast SQL queries using the processing power of Google's infrastructure.

    • BigQuery's architecture includes storage, Dremel execution engine, and SQL layer.

    • Cloud Composer is a managed workflow orchestration service that helps you create, s...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Please be prepared for How to design and implement data pipeline by using Gcp big data service like Data Flow, Dataproc.
Having good knowledge of GCP Bigquery and Data transfer service for streaming and batch data.

Skills evaluated in this interview

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

Cognizant interview questions for designations

 Data Engineer

 (30)

 Azure Data Engineer

 (7)

 Associate Data Engineer

 (4)

 Big Data Engineer

 (2)

 Data Center Engineer

 (2)

 Senior Data Engineer

 (2)

 AWS Data Engineer

 (2)

 Data Science Engineer

 (1)

Interview questions from similar companies

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

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.

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 - 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
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via LinkedIn and was interviewed in Oct 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Questions on SQL Joins and Window Functions
  • Q2. GCP Big query and Cloud Storage qs
Round 2 - HR 

(2 Questions)

  • Q1. About overall IT experience
  • Q2. Project experience and services used
  • Ans. 

    I have experience working on projects involving data processing, transformation, and analysis using GCP services like BigQuery, Dataflow, and Dataproc.

    • Utilized BigQuery for storing and querying large datasets

    • Implemented data pipelines using Dataflow for real-time data processing

    • Utilized Dataproc for running Apache Spark and Hadoop clusters for data processing

    • Worked on data ingestion and transformation using Cloud Stora

  • Answered by AI
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Cognizant Interview FAQs

How many rounds are there in Cognizant Gcp Data Engineer interview?
Cognizant interview process usually has 1-2 rounds. The most common rounds in the Cognizant interview process are Technical, HR and Resume Shortlist.
How to prepare for Cognizant Gcp 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 Cognizant. The most common topics and skills that interviewers at Cognizant expect are GCP, GCP Cloud, Bigquery, Data Engineering and Airflow.
What are the top questions asked in Cognizant Gcp Data Engineer interview?

Some of the top questions asked at the Cognizant Gcp Data Engineer interview -

  1. GCP Services, What is use of Bigquery? What is Pubsub,Dataflow,cloud storage. ...read more
  2. What is GCP Bigquery, Architecture of BQ, Cloud composer, What Is DAG . Visuali...read more
  3. bq commands on show the schema of the ta...read more

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Cognizant Gcp Data Engineer Interview Process

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