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Cognizant Gcp Data Engineer Interview Questions and Answers for Experienced

Updated 23 May 2024

Cognizant Gcp Data Engineer Interview Experiences for Experienced

2 interviews found

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 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

Gcp Data Engineer Interview Questions Asked at Other Companies for Experienced

asked in Cognizant
Q1. GCP Services, What is use of Bigquery? What is Pubsub,Dataflow,cl ... read more
asked in Capgemini
Q2. Explain Google cloud bigquery architecture?
asked in Cognizant
Q3. What is GCP Bigquery, Architecture of BQ, Cloud composer, What Is ... read more
asked in PwC
Q4. Explain Pub-sub mechanism.How you implemented in your project.
asked in PwC
Q5. If query fails in bigquery,how can you find out error.

Interview questions from similar companies

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.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Sep 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Bigquery architecture, Advanced SQL question scenario based, cloud storage questions,pubsub,dataflow
Round 2 - Technical 

(1 Question)

  • Q1. Used cases on bigquery and sql
  • Ans. 

    BigQuery is used for analyzing large datasets and running complex queries, while SQL is used for querying databases.

    • BigQuery is used for analyzing large datasets quickly and efficiently

    • SQL is used for querying databases to retrieve specific data

    • BigQuery can handle petabytes of data, making it ideal for big data analysis

    • SQL can be used to perform operations like filtering, sorting, and aggregating data

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Salary discussion and location discussion

Skills evaluated in this interview

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 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
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. Tell. me about youself
  • Q2. Sql question , pyspark questions
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 May 2024. There was 1 interview round.

Round 1 - Coding Test 

1. Questions on spark basica
2. Sql coding questions
3. Java or scala basics

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 Aug 2023. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Case Study 

I will do tha study for all company cases

Round 3 - Aptitude Test 

I will give aptitude test

Round 4 - Technical 

(7 Questions)

  • Q1. I will try to solved all technical issue
  • Q2. Asked tha questions to releted data entry operator
  • Q3. I take my work time
  • Q4. Slove tha query who give me dara
  • Q5. Give any response to short time
  • Ans. 

    Respond promptly with concise information

    • Provide relevant details quickly

    • Avoid unnecessary elaboration

    • Be clear and concise in communication

  • Answered by AI
  • Q6. Asked how to do group discussion.
  • Q7. How can slove tha all data questions

Interview Preparation Tips

Interview preparation tips for other job seekers - I like this interview because tha all questions he asked and all technical issue all to solve with this question
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Data Sceince related questions

I applied via Naukri.com and was interviewed in Sep 2022. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
Round 2 - HR 

(2 Questions)

  • Q1. This is any questions. Computer basic knowledge. Data entry Opreter.
  • Q2. Advance excel knowledge.

Interview Preparation Tips

Interview preparation tips for other job seekers - Computer basic knowledge. Data entry oprater. advance excel knowledge Advance tally knowledge

Cognizant Interview FAQs

How many rounds are there in Cognizant Gcp Data Engineer interview for experienced candidates?
Cognizant interview process for experienced candidates usually has 2 rounds. The most common rounds in the Cognizant interview process for experienced candidates are Technical, Resume Shortlist and HR.
How to prepare for Cognizant Gcp Data Engineer interview for experienced candidates?
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 for experienced candidates?

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

  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. What are the GCP services used in your proj...read more

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