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Hewlett Packard Enterprise Data Engineer Interview Questions and Answers

Updated 28 Mar 2024

Hewlett Packard Enterprise Data Engineer Interview Experiences

3 interviews found

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 28 Mar 2024

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Job Portal and was interviewed in Feb 2024. There were 2 interview rounds.

Round 1 - Group Discussion 

Gd on Data boon or bane?

Round 2 - Technical 

(1 Question)

  • Q1. Zumple nava,c++ questions

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 12 Nov 2022

I applied via Walk-in and was interviewed in Oct 2022. 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 - One-on-one 

(3 Questions)

  • Q1. SQL, Spark, Kafka, python
  • Q2. Python unpickling and pickling
  • Q3. Kafka brokers, dictionary in python

Interview Preparation Tips

Interview preparation tips for other job seekers - Positive interview experience. And prepare for big data well

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I applied via campus placement at Centre for Development of Advanced Computing (CDAC) and was interviewed in Oct 2022. There were 2 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 - One-on-one 

(2 Questions)

  • Q1. SQL python Kafka Hadoop Spark Graduation Project
  • Q2. SQL Python Kafka Project

Interview Preparation Tips

Topics to prepare for Hewlett Packard Enterprise Data Engineer interview:
  • SQL
  • Python
  • Big Data
Interview preparation tips for other job seekers - You need to go fully prepared. Overall the interview went okay.

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(5 Questions)

  • Q1. Scenario based questions on Azure data factory and pipelines
  • Q2. Optimisation technic to improve the performance of databricks
  • Q3. What is Autoloader
  • Q4. What is unity catalog
  • Q5. How you do the alerting mechanism in adf for failed pipelines

Data Engineer Interview Questions & Answers

Genpact user image Sashikanta Parida

posted on 17 Dec 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. What are different type of joins available in Databricks?
  • Ans. 

    Different types of joins available in Databricks include inner join, outer join, left join, right join, and cross join.

    • Inner join: Returns only the rows that have matching values in both tables.

    • Outer join: Returns all rows when there is a match in either table.

    • Left join: Returns all rows from the left table and the matched rows from the right table.

    • Right join: Returns all rows from the right table and the matched rows ...

  • Answered by AI
  • Q2. How do you make your data pipeline fault tolerant?
  • Ans. 

    Implementing fault tolerance in a data pipeline involves redundancy, monitoring, and error handling.

    • Use redundant components to ensure continuous data flow

    • Implement monitoring tools to detect failures and bottlenecks

    • Set up automated alerts for immediate response to issues

    • Design error handling mechanisms to gracefully handle failures

    • Use checkpoints and retries to ensure data integrity

  • Answered by AI
  • Q3. What is AutoLoader?
  • Ans. 

    AutoLoader is a feature in data engineering that automatically loads data from various sources into a data warehouse or database.

    • Automates the process of loading data from different sources

    • Reduces manual effort and human error

    • Can be scheduled to run at specific intervals

    • Examples: Apache Nifi, AWS Glue

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. How do you connect to different services in Azure?
  • Ans. 

    To connect to different services in Azure, you can use Azure SDKs, REST APIs, Azure Portal, Azure CLI, and Azure PowerShell.

    • Use Azure SDKs for programming languages like Python, Java, C#, etc.

    • Utilize REST APIs to interact with Azure services programmatically.

    • Access and manage services through the Azure Portal.

    • Leverage Azure CLI for command-line interface interactions.

    • Automate tasks using Azure PowerShell scripts.

  • Answered by AI
  • Q2. What are linked Services?
  • Ans. 

    Linked Services are connections to external data sources or destinations in Azure Data Factory.

    • Linked Services define the connection information needed to connect to external data sources or destinations.

    • They can be used in Data Factory pipelines to read from or write to external systems.

    • Examples of Linked Services include Azure Blob Storage, Azure SQL Database, and Amazon S3.

  • Answered by AI
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. How can you design an Azure Data Factory pipeline to copy data from a folder containing files with different delimiters to another folder?
  • Q2. Write a pyspark program that reads multiple csv files and creates a data frame with count of records against each file

Data Engineer Interview Questions & Answers

Wipro user image Lakshmi Narayana

posted on 27 Nov 2024

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

(2 Questions)

  • Q1. Explain adf questions in detail
  • Ans. 

    ADF questions refer to Azure Data Factory questions which are related to data integration and data transformation processes.

    • ADF questions are related to Azure Data Factory, a cloud-based data integration service.

    • These questions may involve data pipelines, data flows, activities, triggers, and data movement.

    • Candidates may be asked about their experience with designing, monitoring, and managing data pipelines in ADF.

    • Exam...

  • Answered by AI
  • Q2. Project related questions
Round 2 - Technical 

(2 Questions)

  • Q1. Project data related questions
  • Q2. Databricks and SQL interview questions

Data Engineer Interview Questions & Answers

Cognizant user image Abhishek Paithankar

posted on 16 Nov 2024

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

Aptitude test involved with quantative aptitude, logical reasoning and reading comprehensions.

Round 2 - Technical 

(2 Questions)

  • Q1. Tell me your introduction.
  • Q2. Tell me about your skills.
  • Ans. 

    I have strong skills in data processing, ETL, data modeling, and programming languages like Python and SQL.

    • Proficient in data processing and ETL techniques

    • Strong knowledge of data modeling and database design

    • Experience with programming languages like Python and SQL

    • Familiarity with big data technologies such as Hadoop and Spark

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. Are you ready relocate,?
  • Ans. 

    Yes, I am open to relocating for the right opportunity.

    • I am willing to relocate for the right job opportunity.

    • I have experience moving for previous roles.

    • I am flexible and adaptable to new locations.

    • I am excited about the possibility of exploring a new city or country.

  • Answered by AI
  • Q2. Document verification

Interview Preparation Tips

Interview preparation tips for other job seekers - If you are fresher first prepare for aptitude, because once aptitude get cleared you will get selected from the large compitition and then focus on your technical knowledge and managerial skills about the company.
Interview experience
4
Good
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Coding Test 

General question around data engineering

Round 2 - One-on-one 

(3 Questions)

  • Q1. Different apache tech and tools
  • Q2. What is snowflake
  • Q3. Coding questions on python
Round 3 - HR 

(2 Questions)

  • Q1. About location preference
  • Q2. Behavioural questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Nothing specific
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Python SQL question
Round 2 - Technical 

(1 Question)

  • Q1. More on Project side
Round 3 - HR 

(1 Question)

  • Q1. Salary Discussion

Hewlett Packard Enterprise Interview FAQs

How many rounds are there in Hewlett Packard Enterprise Data Engineer interview?
Hewlett Packard Enterprise interview process usually has 2 rounds. The most common rounds in the Hewlett Packard Enterprise interview process are Resume Shortlist, One-on-one Round and Group Discussion.
How to prepare for Hewlett Packard Enterprise 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 Hewlett Packard Enterprise. The most common topics and skills that interviewers at Hewlett Packard Enterprise expect are Python, SQL, Data Analysis, Data Analytics and Open Source.
What are the top questions asked in Hewlett Packard Enterprise Data Engineer interview?

Some of the top questions asked at the Hewlett Packard Enterprise Data Engineer interview -

  1. SQL python Kafka Hadoop Spark Graduation Proj...read more
  2. SQL Python Kafka Proj...read more
  3. Kafka brokers, dictionary in pyt...read more

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Hewlett Packard Enterprise Data Engineer Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more
Hewlett Packard Enterprise Data Engineer Salary
based on 68 salaries
₹6 L/yr - ₹22.5 L/yr
29% more than the average Data Engineer Salary in India
View more details

Hewlett Packard Enterprise Data Engineer Reviews and Ratings

based on 8 reviews

3.2/5

Rating in categories

2.6

Skill development

3.8

Work-life balance

2.9

Salary

3.6

Job security

3.9

Company culture

2.8

Promotions

3.5

Work satisfaction

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