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Happiest Minds Technologies Data Engineer Interview Questions and Answers

Updated 28 Aug 2024

Happiest Minds Technologies Data Engineer Interview Experiences

2 interviews found

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 15 Oct 2023

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

I applied via Recruitment Consulltant and was interviewed in Apr 2023. There were 4 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. SQL questions mostly
    • Add your answer
Round 3 - Technical 

(1 Question)

  • Q1. Azure data factory scenario based questions
    • Add your answer
Round 4 - Technical 

(1 Question)

  • Q1. Tough sql and Azure scenario based questions
    • Add your answer

Data Engineer Interview Questions & Answers

user image Nagaraj Purohit

posted on 28 Aug 2024

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

(5 Questions)

  • Q1. Data warehousing related questions
    • Add your answer
  • Q2. SQL scenario based questions
    • Add your answer
  • Q3. Project experience
  • Ans. 

    I have experience working on projects involving data pipeline development, ETL processes, and data warehousing.

    • Developed ETL processes to extract, transform, and load data from various sources into a data warehouse

    • Built data pipelines to automate the flow of data between systems and ensure data quality and consistency

    • Optimized database performance and implemented data modeling best practices

    • Worked on real-time data pro...

    • Answered by AI
    Add your answer
  • Q4. Python Based questions
    • Add your answer
  • Q5. AWS features and questions
    • Add your answer
Round 2 - Technical 

(2 Questions)

  • Q1. Similar to first round but in depth questions relatively
    • Add your answer
  • Q2. Asked about career goals and stuff
    • Add your answer
Round 3 - HR 

(2 Questions)

  • Q1. General work related conversation
    • Add your answer
  • Q2. Salary discussion
    • Add your answer

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Top trending discussions

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Salary Discussions, Hike & Promotions
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New Job, Higher Pay, Now I’m Feeling Awkward
I’ve been at my new job for about six months now, and everything’s been going great! I’m getting positive feedback from my manager, and I get along well with the team. The thing is, when I started, my salary offer ended up being much higher than the initial number discussed during my interview. I didn’t negotiate and just accepted the offer. So, fast forward to happy hour with the team, and the topic of salary comes up. I, unfortunately, shared what I’m making, and let’s just say... it didn’t sit well with the others who have been on the team for years and make less than me. They weren’t mad at me, but now I’m feeling a bit uncomfortable and unsure how to handle this situation. Has anyone had something like this happen? How did you deal with it? Let’s chat!
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Interview questions from similar companies

Data Engineer Interview Questions & Answers

CitiusTech user image Anonymous

posted on 21 Nov 2024

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 Oct 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Azure Scenario based questions
    • Add your answer
  • Q2. Pyspark Coding based questions
    • Add your answer
Round 2 - One-on-one 

(2 Questions)

  • Q1. ADF, Databricks related question
    • Add your answer
  • Q2. Spark Performance problem and scenarios
    • Add your answer

Data Engineer Interview Questions & Answers

Koch Business Solutions user image Mugilarasan V

posted on 16 Nov 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected
Round 1 - Technical 

(1 Question)

  • Q1. More on Technical area
    • Add your answer
Round 2 - Technical 

(1 Question)

  • Q1. More on Technical area
    • Add your answer
Round 3 - One-on-one 

(1 Question)

  • Q1. Technical + Behaviour
    • Add your answer
Round 4 - One-on-one 

(1 Question)

  • Q1. Technical + Behaviour
    • Add your answer
Round 5 - HR 

(1 Question)

  • Q1. Expectation and Genaral
    • Add your answer

Data Engineer Interview Questions & Answers

ValueLabs user image Anonymous

posted on 16 Dec 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - One-on-one 

(1 Question)

  • Q1. Diff between Coalesce and repatriation
    • Add your answer

Data Engineer Interview Questions & Answers

Altimetrik user image Anonymous

posted on 23 Dec 2024

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

(2 Questions)

  • Q1. SCD questions. Iceberg questions
    • Add your answer
  • Q2. Basic python programing, pyspark architechture.
    • Add your answer

Data Engineer Interview Questions & Answers

Apexon user image Anonymous

posted on 8 Nov 2024

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

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. Incremental load in pyspark
  • Ans. 

    Incremental load in pyspark refers to loading only new or updated data into a dataset without reloading the entire dataset.

    • Use the 'delta' function in pyspark to perform incremental loads by specifying the 'mergeSchema' option.

    • Utilize the 'partitionBy' function to optimize incremental loads by partitioning the data based on specific columns.

    • Implement a logic to identify new or updated records based on timestamps or uni...

    • Answered by AI
    Add your answer
  • Q2. Drop duplicates
    • Add your answer

Skills evaluated in this interview

Data Engineer Interview Questions & Answers

ThoughtWorks user image Anonymous

posted on 4 Mar 2024

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Not Selected

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

Round 1 - Coding Test 

Just focus on the basics of pyspark.

Data Engineer Interview Questions & Answers

Collabera Technologies user image akshay pathania

posted on 9 May 2022

I applied via Approached by Company and was interviewed in Nov 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Normalisation of database, views,stored procedures
  • Ans. 

    Normalization is a process of organizing data in a database to reduce redundancy and improve data integrity.

    • Normalization involves breaking down a table into smaller tables and defining relationships between them.

    • It helps in reducing data redundancy and inconsistencies.

    • Views are virtual tables that are created based on the result of a query. They can be used to simplify complex queries.

    • Stored procedures are precompiled...

    • Answered by AI
    Add your answer

Interview Preparation Tips

Interview preparation tips for other job seekers - Nice interviews.bhgdgjnfdtubxrrikfdeijjgdryihffuijggiok

Data Engineer Interview Questions & Answers

CitiusTech user image Anonymous

posted on 3 Oct 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

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

Round 1 - Technical 

(14 Questions)

  • Q1. How to create pipeline in adf?
    • Add your answer
  • Q2. Diffrent types of activities in pipelines
    • Add your answer
  • Q3. What is use of getmetadata
    • Add your answer
  • Q4. Diffrent types of triggers
    • Add your answer
  • Q5. Diffrence between normal cluster and job cluster in databricks
    • Add your answer
  • Q6. What is slowly changing dimensions
    • Add your answer
  • Q7. Incremental load
    • Add your answer
  • Q8. With use in python
    • Add your answer
  • Q9. List vs tuple in python
    • Add your answer
  • Q10. Datalake 1 vs datalake2
    • Add your answer
  • Q11. How to read a file in databricks
    • Add your answer
  • Q12. Star vs snowflake schema
    • Add your answer
  • Q13. Repartition vs coalesece
    • Add your answer
  • Q14. Parquet file uses
    • Add your answer
More about working at Happiest Minds Technologies

Happiest Minds Technologies Interview FAQs

How many rounds are there in Happiest Minds Technologies Data Engineer interview?
Happiest Minds Technologies interview process usually has 3-4 rounds. The most common rounds in the Happiest Minds Technologies interview process are Technical, Resume Shortlist and HR.
How to prepare for Happiest Minds Technologies 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 Happiest Minds Technologies. The most common topics and skills that interviewers at Happiest Minds Technologies expect are Python, Data Modeling, Hospitality, AWS and Analytical.
What are the top questions asked in Happiest Minds Technologies Data Engineer interview?

Some of the top questions asked at the Happiest Minds Technologies Data Engineer interview -

  1. Similar to first round but in depth questions relativ...read more
  2. Azure data factory scenario based questi...read more
  3. Tough sql and Azure scenario based questi...read more

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Happiest Minds Technologies Data Engineer Interview Process

based on 2 interviews

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Happiest Minds Technologies Data Engineer Salary
based on 92 salaries
₹4.3 L/yr - ₹17.1 L/yr
At par with the average Data Engineer Salary in India
View more details

Happiest Minds Technologies Data Engineer Reviews and Ratings

based on 11 reviews

3.5/5

Rating in categories

3.2

Skill development

3.6

Work-life balance

3.0

Salary

3.6

Job security

3.9

Company culture

3.0

Promotions

3.6

Work satisfaction

Explore 11 Reviews and Ratings
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