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3.3

based on 569 Reviews

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Celebal Technologies Associate Data Engineer Interview Questions and Answers

Updated 29 May 2024

Celebal Technologies Associate Data Engineer Interview Experiences

2 interviews found

I applied via LinkedIn and was interviewed in Jul 2022. There were 2 interview rounds.

Round 1 - Coding Test 

First round is basically on python multiple choice questions and then it was asking 6 python easy-moderate question(Don't worry it's not like DSA) then 6 SQL questions which is kind of midium level questions.

Round 2 - One-on-one 

(2 Questions)

  • Q1. Interviewer asked more about pandas, numpy and according to my resume. 1.what's Linear Regression (As on my resume mentioned that algorithm.)?? I can't remember such pandas and numpy questions but I can sa...
  • Q2. How is an empty class created in python.
  • Ans. 

    An empty class can be created in Python using the 'pass' keyword.

    • Use the 'class' keyword to define a class.

    • Add the class name and a colon after the 'class' keyword.

    • Use the 'pass' keyword to indicate an empty class body.

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Celebal Technologies Associate Data Engineer interview:
  • Python
  • sql
Interview preparation tips for other job seekers - 1.If you are good in python and sql then you got this job.
2.If you get the job then they would definitely put you in a contract of 2 or 3 years, So remember you can negotiate as much as you can.

Skills evaluated in this interview

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

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

Round 1 - Coding Test 

2 SQL questions with some dsa and python mqs.

Round 2 - Technical 

(4 Questions)

  • Q1. Mostly asked SQL questions.
  • Q2. Joins, normalisation, aggregate functions etc
  • Q3. SQL queries to find duplicate values
  • Ans. 

    Use SQL queries with GROUP BY and HAVING clause to find duplicate values in a table.

    • Use GROUP BY clause to group the records based on the columns you want to check for duplicates.

    • Use HAVING clause to filter out the groups that have more than one record, indicating duplicates.

    • Example: SELECT column_name, COUNT(*) FROM table_name GROUP BY column_name HAVING COUNT(*) > 1;

  • Answered by AI
  • Q4. SQL queries to find second highest salary
  • Ans. 

    Use SQL query with subquery to find second highest salary

    • Use ORDER BY clause to sort salaries in descending order

    • Use LIMIT clause to get the second row after skipping the first row

    • Use a subquery to avoid duplicates if multiple employees have the same highest salary

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Generic behavioral questions

Skills evaluated in this interview

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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 Dec 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. On Project from resume
  • Q2. GenAI basics
Round 2 - Technical 

(2 Questions)

  • Q1. RAG, LLM, Azure OpenAI
  • Q2. Python questions

Interview Preparation Tips

Topics to prepare for Axtria Data Scientist interview:
  • genai
  • Python
  • Llm
Interview preparation tips for other job seekers - Good interview process, good interviewer
Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response
Round 1 - Technical 

(2 Questions)

  • Q1. What is the SQL query used to remove duplicates from a dataset?
  • Ans. 

    Use the DISTINCT keyword in a SELECT query to remove duplicates from a dataset.

    • Use the SELECT DISTINCT statement to retrieve unique rows from a table

    • Example: SELECT DISTINCT column1, column2 FROM table_name;

    • Another way is to use the GROUP BY clause with aggregate functions like COUNT() or SUM() to remove duplicates

  • Answered by AI
  • Q2. What is the SQL query to find the third highest salary in a table?
  • Ans. 

    Use a subquery to find the third highest salary in a table using SQL.

    • Use the ORDER BY clause to sort the salaries in descending order.

    • Use the LIMIT clause to limit the results to the third row.

    • Use a subquery to select the third highest salary from the sorted list.

  • Answered by AI
Round 2 - HR 

(2 Questions)

  • Q1. What are the different roles in Power BI?
  • Ans. 

    Different roles in Power BI include Power BI Developer, Power BI Analyst, Power BI Administrator, and Power BI User.

    • Power BI Developer - responsible for creating and maintaining Power BI reports and dashboards

    • Power BI Analyst - analyzes data using Power BI to provide insights and recommendations

    • Power BI Administrator - manages security, access, and data sources in Power BI

    • Power BI User - consumes reports and dashboards

  • Answered by AI
  • Q2. SQL - basicand advanced questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

It was well designed

Round 2 - Technical 

(2 Questions)

  • Q1. Basic Questions about data warehousing
  • Q2. Dbt Scenarios

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well for dbt and other ETL tools
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Nov 2024. There were 3 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Basicn details to check for qualifications
Round 2 - Technical 

(1 Question)

  • Q1. About my projects
Round 3 - Technical 

(1 Question)

  • Q1. More details about ML models
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Cache vs persist
  • Ans. 

    Cache is used for temporary storage of data in memory, while persist is used for saving data to disk for long-term storage.

    • Cache is typically faster as it stores data in memory for quick access.

    • Persist saves data to disk for durability and long-term storage.

    • Cache is often used for temporary data that can be recomputed if lost, while persist is used for important data that needs to be retained.

    • Examples: Using cache for ...

  • Answered by AI
  • Q2. Broadcast join and other optimization techniques
Round 2 - One-on-one 

(4 Questions)

  • Q1. Sql window function
  • Q2. Spark architecture, dataframe vs rdd
  • Q3. Python reverse sentence
  • Ans. 

    Reverse a sentence using Python

    • Split the sentence into words using split() method

    • Reverse the list of words using list slicing

    • Join the reversed list of words back into a sentence using join() method

  • Answered by AI
  • Q4. Join based on nulls in sql

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Selected Selected

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

Round 1 - Phonographic interview 

(2 Questions)

  • Q1. Tell me about your self?
  • Q2. What technology & tools u know ? And basic questions regarding that topics ?
Round 2 - Photographic interview 

(2 Questions)

  • Q1. Job culture and job responsibilities ?
  • Q2. Some questions on an analytical tools like power BI ?
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

It contain both Aptitude and Coding about base models and Deep learning too

Round 2 - Technical 

(2 Questions)

  • Q1. What different models technique ?
  • Ans. 

    Different models techniques include linear regression, decision trees, random forests, support vector machines, and neural networks.

    • Linear regression is used for predicting continuous values.

    • Decision trees are used for classification and regression tasks.

    • Random forests are an ensemble method based on decision trees.

    • Support vector machines are used for classification tasks.

    • Neural networks are used for complex pattern re

  • Answered by AI
  • Q2. What are performance metric where to use what?
  • Ans. 

    Different performance metrics are used for different types of machine learning models to evaluate their effectiveness.

    • For classification models, metrics like accuracy, precision, recall, F1 score, and ROC-AUC are commonly used.

    • For regression models, metrics like mean squared error (MSE), mean absolute error (MAE), and R-squared are commonly used.

    • For clustering models, metrics like silhouette score and Davies-Bouldin in...

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. Explain about Project
  • Q2. What are problems faced in that project?

Skills evaluated in this interview

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

Highly interactive and technical

Round 2 - Aptitude Test 

1 hr test with focus on math and analytical thinking

Celebal Technologies Interview FAQs

How many rounds are there in Celebal Technologies Associate Data Engineer interview?
Celebal Technologies interview process usually has 2-3 rounds. The most common rounds in the Celebal Technologies interview process are Coding Test, One-on-one Round and Technical.
What are the top questions asked in Celebal Technologies Associate Data Engineer interview?

Some of the top questions asked at the Celebal Technologies Associate Data Engineer interview -

  1. How is an empty class created in pyth...read more
  2. SQL queries to find second highest sal...read more
  3. SQL queries to find duplicate val...read more

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Celebal Technologies Associate Data Engineer Salary
based on 161 salaries
₹2.5 L/yr - ₹11 L/yr
17% less than the average Associate Data Engineer Salary in India
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Celebal Technologies Associate Data Engineer Reviews and Ratings

based on 22 reviews

2.9/5

Rating in categories

3.5

Skill development

3.2

Work-Life balance

2.8

Salary & Benefits

2.7

Job Security

2.8

Company culture

2.5

Promotions/Appraisal

2.9

Work Satisfaction

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