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MassMutual Data Engineer Interview Questions and Answers

Updated 20 May 2024

MassMutual Data Engineer Interview Experiences

3 interviews found

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 20 May 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Apr 2024. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Python data types, SQL medium to complex, Spark medium question
Round 2 - One-on-one 

(1 Question)

  • Q1. SQL complex, Spark theory
Round 3 - HR 

(1 Question)

  • Q1. Basic HR questions

Interview Preparation Tips

Topics to prepare for MassMutual Data Engineer interview:
  • Python
  • SQL
  • Spark
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Current job roles
  • Q2. Data engineering concepts

Interview Preparation Tips

Interview preparation tips for other job seekers - Be good prepared with basics

Data Engineer Interview Questions Asked at Other Companies

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Data Engineer Interview Questions & Answers

user image Anonymous

posted on 30 Jun 2022

Round 1 - One-on-one 

(3 Questions)

  • Q1. DIMENCTIONS VS FACTS
  • Ans. 

    Dimensions and facts are two types of data in a data warehouse. Dimensions are descriptive attributes while facts are measurable data.

    • Dimensions are used to categorize and filter data while facts are used to perform calculations and analysis.

    • Dimensions are often used as the basis for reports and dashboards while facts are used to provide the underlying data.

    • Examples of dimensions include time, location, and product whi...

  • Answered by AI
  • Q2. INFORMATICA ROUTER VS UNION
  • Ans. 

    Informatica Router and Union are used for data integration and transformation.

    • Informatica Router is used to route data based on certain conditions.

    • Informatica Union is used to combine data from multiple sources.

    • Router can be used to split data into multiple targets based on conditions.

    • Union can be used to merge data from multiple sources into a single target.

    • Router can be used to implement complex data flows.

    • Union can

  • Answered by AI
  • Q3. EMP DETAILS WHO HAS MAX SAL IN EACH DEPT
  • Ans. 

    Find employee details with max salary in each department.

    • Group employees by department

    • Find max salary for each group

    • Join with employee details to get employee info

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - BASIC TO ADVANCE SQL AND ETL QUESTIONS,
THEY ALSO CHECK OUT CONFIDENCE

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Approached by Company and was interviewed in Dec 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. SQL queries, python questions, project overview
Round 2 - Behavioral 

(1 Question)

  • Q1. Project description, what all technologies you worked upon, will u be able to relocate, etc
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 Sep 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. SQL and Python and Spark related questions
  • Q2. Project-oriented questions
Round 2 - Technical 

(2 Questions)

  • Q1. Coding and AWS cloud-related questions like GLUE, LAMBDA, Redshift etc
  • Q2. Project and managerial-related questions
Interview experience
3
Average
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

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

Round 1 - Coding Test 

One sql and one basic python dict question

Round 2 - One-on-one 

(2 Questions)

  • Q1. Questions on big data mostly spark
  • Q2. Project based questions
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Sep 2024. There were 4 interview rounds.

Round 1 - Aptitude Test 

Basic aptitude questions

Round 2 - Coding Test 

Data structure and algorithms

Round 3 - Technical 

(1 Question)

  • Q1. Java, SQL questions
Round 4 - HR 

(1 Question)

  • Q1. Casual talk about roles
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. PartitionBy vs bucketBy in spark
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Oct 2023. 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 

(6 Questions)

  • Q1. Data Engineering Concepts
  • Q2. Build ETL pipeline on cloud
  • Ans. 

    ETL pipeline on cloud involves extracting data from various sources, transforming it, and loading it into a cloud-based data warehouse.

    • Use cloud-based ETL tools like AWS Glue, Google Cloud Dataflow, or Azure Data Factory to extract, transform, and load data.

    • Design the pipeline to handle large volumes of data efficiently and securely.

    • Utilize serverless computing and auto-scaling capabilities of cloud platforms to optimi...

  • Answered by AI
  • Q3. Writing sql queries to solve the logic
  • Q4. Data Modelling techniques
  • Ans. 

    Data modelling techniques involve creating a visual representation of data relationships and structures.

    • Identifying entities and their relationships

    • Creating entity-relationship diagrams

    • Normalizing data to reduce redundancy

    • Using tools like ERwin, Visio, or Lucidchart

    • Implementing data models in databases

  • Answered by AI
  • Q5. Performance Optimisation
  • Q6. Data Warehouse implementation
  • Ans. 

    Data Warehouse implementation involves designing, building, and maintaining a centralized repository for storing and analyzing data.

    • Designing the data warehouse schema to meet business requirements

    • Extracting, transforming, and loading data from various sources into the warehouse

    • Implementing data quality processes to ensure accuracy and consistency

    • Creating data models and reports for analysis and decision-making

    • Optimizi...

  • Answered by AI

Skills evaluated in this interview

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

(1 Question)

  • Q1. Spark basics, sql - analytical functions,lateral view explode,project realted questions etc

MassMutual Interview FAQs

How many rounds are there in MassMutual Data Engineer interview?
MassMutual interview process usually has 1-2 rounds. The most common rounds in the MassMutual interview process are One-on-one Round, Technical and HR.
How to prepare for MassMutual 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 MassMutual. The most common topics and skills that interviewers at MassMutual expect are Agile, Coding, Corporate Finance, Data Collection and Data Modeling.
What are the top questions asked in MassMutual Data Engineer interview?

Some of the top questions asked at the MassMutual Data Engineer interview -

  1. EMP DETAILS WHO HAS MAX SAL IN EACH D...read more
  2. INFORMATICA ROUTER VS UN...read more
  3. DIMENCTIONS VS FA...read more

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MassMutual Data Engineer Interview Process

based on 2 interviews

Interview experience

4.5
  
Good
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MassMutual Data Engineer Salary
based on 20 salaries
₹6 L/yr - ₹20 L/yr
38% more than the average Data Engineer Salary in India
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MassMutual Data Engineer Reviews and Ratings

based on 1 review

4.0/5

Rating in categories

5.0

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4.0

Work-life balance

3.0

Salary

5.0

Job security

3.0

Company culture

3.0

Promotions

4.0

Work satisfaction

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