Upload Button Icon Add office photos

Filter interviews by

Clear (1)

TransOrg Analytics Data Engineer Interview Questions, Process, and Tips

Updated 26 Sep 2023

TransOrg Analytics Data Engineer Interview Experiences

1 interview found

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 21 Sep 2023

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

I applied via LinkedIn and was interviewed in Aug 2023. 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 Resume tips
Round 2 - Technical 

(15 Questions)

  • Q1. Introduce your self and Explain your project?
  • Q2. What is Normalization is sql and explain 1NF 2NF 3NF?
  • Ans. 

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

    • 1NF (First Normal Form) - Each column in a table must contain atomic values, and there should be no repeating groups.

    • 2NF (Second Normal Form) - Table should be in 1NF and all non-key attributes are fully functional dependent on the primary key.

    • 3NF (Third Normal Form) - Table should be in 2NF and there sh...

  • Answered by AI
  • Q3. What is difference between alter and update ?
  • Ans. 

    Alter is used to modify the structure of a table, while update is used to modify the data in a table.

    • Alter is used to add, remove, or modify columns in a table.

    • Update is used to change the values of existing records in a table.

    • Alter can change the structure of a table, such as adding a new column or changing the data type of a column.

    • Update is used to modify the data in a table, such as changing the value of a specific

  • Answered by AI
  • Q4. Assume We had a PAN india Retail store because of which i have customer table in backend one is customer profile table and other is customer transaction table both will linked with customer id so what will...
  • Ans. 

    Use left join for computationally efficient way to find customer names from customer profile and transaction tables.

    • Use left join to combine customer profile and transaction tables based on customer id

    • Left join will include all customers from profile table even if they don't have transactions

    • Subquery may be less efficient as it has to be executed for each row in the result set

  • Answered by AI
  • Q5. How subquery is work on backend on the above question?
  • Q6. Design a business case to use self join? Condition : not use hirachical usecase like teacher student employee manager father and grandfather
  • Ans. 

    Using self join to analyze customer behavior in an e-commerce platform.

    • Identifying patterns in customer purchase history

    • Analyzing customer preferences based on past purchases

    • Segmenting customers based on their buying behavior

  • Answered by AI
  • Q7. What if you have to find out second highest transacting member in each city?
  • Ans. 

    Use SQL query with window function to rank members by transaction amount in each city.

    • Use SQL query with PARTITION BY clause to group members by city

    • Use ORDER BY clause to rank members by transaction amount

    • Select the second highest member for each city

  • Answered by AI
  • Q8. What is Common Expression Query (CTE)?How CTE is different from Stored Procedure?
  • Ans. 

    CTE is a temporary result set that can be referenced within a SELECT, INSERT, UPDATE, or DELETE statement. It is different from a Stored Procedure as it is only available for the duration of the query.

    • CTE stands for Common Table Expression and is defined using the WITH keyword.

    • CTEs are mainly used for recursive queries, complex joins, and simplifying complex queries.

    • CTEs are not stored in the database like Stored Proce...

  • Answered by AI
  • Q9. What is List Comprehension?
  • Ans. 

    List comprehension is a concise way to create lists in Python by applying an expression to each item in an iterable.

    • Syntax: [expression for item in iterable]

    • Can include conditionals: [expression for item in iterable if condition]

    • Example: squares = [x**2 for x in range(10)]

  • Answered by AI
  • Q10. Have you work on Lambda Function Explain it?
  • Ans. 

    Lambda function is a serverless computing service that runs code in response to events and automatically manages the computing resources required.

    • Lambda functions are event-driven and can be triggered by various AWS services such as S3, DynamoDB, API Gateway, etc.

    • They are written in languages like Python, Node.js, Java, etc.

    • Lambda functions are scalable and cost-effective as you only pay for the compute time you consum...

  • Answered by AI
  • Q11. What is generator function?
  • Ans. 

    A generator function is a function that can pause and resume its execution, allowing it to yield multiple values over time.

    • Generator functions are defined using the 'function*' syntax in JavaScript.

    • They use the 'yield' keyword to return values one at a time.

    • Generators can be iterated over using a 'for...of' loop.

    • They are useful for generating sequences of values lazily, improving memory efficiency.

  • Answered by AI
  • Q12. What is the Difference between Transformation and Actions in pyspark? And Give Example
  • Ans. 

    Transformation in pyspark is lazy evaluation while Actions trigger execution of transformations.

    • Transformations are operations that are not executed immediately but create a plan for execution.

    • Actions are operations that trigger the execution of transformations and return results.

    • Examples of transformations include map, filter, and reduceByKey.

    • Examples of actions include collect, count, and saveAsTextFile.

  • Answered by AI
  • Q13. Difference between map and Flatmap?
  • Ans. 

    Map applies a function to each element in a collection and returns a new collection. Flatmap applies a function that returns a collection to each element and flattens the result.

    • Map transforms each element in a collection using a function and returns a new collection.

    • Flatmap applies a function that returns a collection to each element and flattens the result into a single collection.

    • Map does not flatten nested collecti...

  • Answered by AI
  • Q14. What is Broadcast Variables?
  • Ans. 

    Broadcast Variables are read-only shared variables that are cached on each machine in a cluster for efficient data distribution.

    • Broadcast Variables are used to efficiently distribute large read-only datasets to all nodes in a Spark cluster.

    • They are useful for tasks like joining a small lookup table with a large dataset.

    • Broadcast variables are cached in memory on each machine to avoid unnecessary data shuffling during c

  • Answered by AI
  • Q15. Give the Case Study How you develop Dream 11 like cricket App as a team of Data Engineer ,Data Analyst ,Data Scientest ,Data Architecture and ETL Developer ?what kind of tables you have to you use for s...

Interview Preparation Tips

Interview preparation tips for other job seekers - Do Case Study of real time data Engineer projects?

Skills evaluated in this interview

Data Engineer Jobs at TransOrg Analytics

View all

Interview questions from similar companies

I applied via Naukri.com and was interviewed in Sep 2022. There were 3 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 Resume tips
Round 2 - Coding Test 

SQL test has been conducted nearer to 12-15 questions.

Round 3 - HR 

(2 Questions)

  • Q1. Normal discussion, about salary negotiation
  • Q2. Asked about my past company experience

Interview Preparation Tips

Interview preparation tips for other job seekers - Best of luck.
They have lots of opportunities.....................
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Nov 2023. There were 4 interview rounds.

Round 1 - Aptitude Test 

Blood Relations, Pipes and Cisterns, Time and work etc.

Round 2 - Coding Test 

Question based on hashmap

Round 3 - Group Discussion 

Is Artificial Intelligence boon or ban.

Round 4 - Technical 

(2 Questions)

  • Q1. Python and SQL questions
  • Q2. Python and Numpy, Pandas

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare from your resume.
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Basic SQL questions
  • Q2. Statistical questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Nov 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Difficult aptitude, had to solve a lot of problems in 2 hrs

Round 2 - Group Discussion 

GD topic was "online vs offline education "

Round 3 - Technical 

(2 Questions)

  • Q1. SQL question on self join
  • Q2. Guesstimate on number of cars sold in delhi
  • Ans. 

    Approximately 1.5-2 million cars are sold in Delhi annually.

    • Consider population of Delhi (approx. 20 million)

    • Assume car ownership rate (approx. 10%)

    • Factor in replacement rate and new buyers

  • Answered by AI

I applied via LinkedIn and was interviewed before Oct 2021. There were 3 interview rounds.

Round 1 - Coding Test 

8 python coding
With 2 aptitude

Round 2 - Assignment 

Game based assessment.
More than 8 games need to play

Round 3 - One-on-one 

(2 Questions)

  • Q1. Questions from python and also from SQL. SQL is must to place LatentView. Some projects related questions
  • Q2. How many joins are in SQL what is lamda function in python Difference between tuples and list
  • Ans. 

    Answering questions related to SQL joins, lambda function in Python, and difference between tuples and lists.

    • There are four types of joins in SQL: inner join, left join, right join, and full outer join.

    • Lambda function is an anonymous function in Python that can take any number of arguments, but can only have one expression.

    • Tuples are immutable and ordered collections of elements, while lists are mutable and ordered col...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Want to start your career in analytics field learn SQL and python easily can get a chance to work.

Skills evaluated in this interview

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

I applied via Campus Placement and was interviewed in Nov 2022. There were 5 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 - Aptitude Test 

Get questions from all topics and medium level questions

Round 3 - Group Discussion 

They give one topic and provide one minute for thinking its overall 30 min discussion

Round 4 - Technical 

(2 Questions)

  • Q1. Total technical rounds 1)basic resume questions, python and sql questions. 2)same round 1 but a little bit extra dose 3) managerial round
  • Q2. List, tuple, oops concept. joins from sql
Round 5 - HR 

(1 Question)

  • Q1. Why latent view why analytics best achivemnts
  • Ans. 

    Latent view and analytics are essential for data-driven decision making. My best achievement is developing a predictive model for customer churn.

    • Latent view helps to uncover hidden patterns and insights in data that are not immediately apparent.

    • Analytics provides a systematic approach to analyzing data and extracting meaningful insights.

    • My best achievement is developing a predictive model for customer churn that helped

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - go through your basics, no worries definitely every one get job
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Double-check your resume for any spelling mistakes. The recruiter may consider spelling mistakes as careless behavior or poor communication skills.
View all Resume tips
Round 2 - Aptitude Test 

It was easy to approach!

Round 3 - Group Discussion 

Discussions about common topics like boon or bane to society

Round 4 - Case Study 

Asked about the scenarios

Round 5 - Technical 

(1 Question)

  • Q1. Technical round related to skills and resume
Round 6 - HR 

(1 Question)

  • Q1. Discussions regarding work culture and compensations
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. All basic concepts of pthon sql and ml
Round 2 - Coding Test 

Apptitude, tecncal, cognitiive

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

I applied via Campus Placement and was interviewed in Jul 2022. There were 7 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 Resume tips
Round 2 - Aptitude Test 

It comprised basic verbal,quants and logical questions of average difficulty.

Round 3 - Group Discussion 

This is an easy round to get through if you have a strong command of the English language and are able to speak confidently.Very general topics asked.

Round 4 - Technical 

(4 Questions)

  • Q1. Basic Machine Learning questions ( as I mentioned it in my resume)
  • Q2. Testing how you would be able to apply those concepts to real world scenarios
  • Q3. Generic logical puzzles
  • Q4. Basic python programs (3 to 4 questions)
Round 5 - One-on-one 

(2 Questions)

  • Q1. Asked more about projects mentioned in resume.
  • Q2. Tested basic business sense and awareness.
Round 6 - Assignment 

A game round comprising logical puzzles and games.

Round 7 - HR 

(3 Questions)

  • Q1. Tell me about yourself ( standard intro)
  • Ans. 

    I am a data analyst with a strong background in statistics and programming.

    • Proficient in statistical analysis and data visualization tools such as Python, R, and Tableau

    • Experienced in analyzing large datasets and identifying trends and patterns

    • Skilled in creating reports and presentations to communicate data-driven insights

    • Strong problem-solving and critical thinking skills

    • Ability to work collaboratively in cross-funct...

  • Answered by AI
  • Q2. Asked more about the roles of teammates in group projects listed in resume.
  • Q3. Asked more about myself and whether I could manage the commute to their office

Interview Preparation Tips

Interview preparation tips for other job seekers - Just be confident in what you say you know. Accentuate your strong suits and demonstrate a good can do attitude.
Contribute & help others!
anonymous
You can choose to be anonymous

TransOrg Analytics Interview FAQs

How many rounds are there in TransOrg Analytics Data Engineer interview?
TransOrg Analytics interview process usually has 2 rounds. The most common rounds in the TransOrg Analytics interview process are Resume Shortlist and Technical.
How to prepare for TransOrg Analytics 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 TransOrg Analytics. The most common topics and skills that interviewers at TransOrg Analytics expect are Python, SQL, Data Management, Data Analytics and AWS.
What are the top questions asked in TransOrg Analytics Data Engineer interview?

Some of the top questions asked at the TransOrg Analytics Data Engineer interview -

  1. Assume We had a PAN india Retail store because of which i have customer table i...read more
  2. What is the Difference between Transformation and Actions in pyspark? And Give ...read more
  3. what is Common Expression Query (CTE)?How CTE is different from Stored Procedur...read more

Recently Viewed

JOBS

Browse jobs

Discover jobs you love

COMPANY BENEFITS

KNR Constructions

20 benefits

COMPANY BENEFITS

IRB Infrastructure

60 benefits

COMPANY BENEFITS

Dilip Buildcon

304 benefits

COMPANY BENEFITS

Dilip Buildcon

304 benefits

INTERVIEWS

Microsoft Corporation

No Interviews

INTERVIEWS

Fendahl Technology

No Interviews

INTERVIEWS

AXIS MY INDIA

No Interviews

INTERVIEWS

Amazon

5.6k top interview questions

SALARIES

Collabera Technologies

Tell us how to improve this page.

TransOrg Analytics Data Engineer Interview Process

based on 1 interview

Interview experience

4
  
Good
View more
TransOrg Analytics Data Engineer Salary
based on 5 salaries
₹11.9 L/yr - ₹13 L/yr
15% more than the average Data Engineer Salary in India
View more details

TransOrg Analytics Data Engineer Reviews and Ratings

based on 1 review

4.0/5

Rating in categories

5.0

Skill development

3.0

Work-life balance

3.0

Salary

4.0

Job security

3.0

Company culture

4.0

Promotions

5.0

Work satisfaction

Explore 1 Review and Rating
Data Engineer

Gurgaon / Gurugram,

Bangalore / Bengaluru

+1

3-5 Yrs

₹ 13-12 LPA

Explore more jobs
Data Analyst
42 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Analyst
36 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Analytics Specialist
33 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Data Scientist
22 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Data Science Analyst
12 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Explore more salaries
Compare TransOrg Analytics with

Fractal Analytics

4.0
Compare

Mu Sigma

2.6
Compare

LatentView Analytics

3.7
Compare

Tiger Analytics

3.7
Compare
Did you find this page helpful?
Yes No
write
Share an Interview