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Fractal Analytics AWS Data Engineer Interview Questions and Answers

Updated 16 Oct 2022

Fractal Analytics AWS Data Engineer Interview Experiences

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AWS Data Engineer Interview Questions & Answers

user image Tomrock D'souza

posted on 16 Oct 2022

I applied via Approached by Company and was interviewed before Oct 2021. There were 5 interview rounds.

Round 1 - Coding Test 

Do select coding test. then 2 basic data manipulation and sql rounds then management round

Round 2 - Technical 

(2 Questions)

  • Q1. First Letter of firstname in a column in any data manipulation package supported on databricks
  • Ans. 

    The function to extract the first letter of the firstname in a column varies based on the data manipulation package used.

    • Use SUBSTR function in SQL

    • Use str_extract function in R

    • Use substring function in Python

  • Answered by AI
  • Q2. Windows function based sql problem
Round 3 - Technical 

(1 Question)

  • Q1. Basic Leetcode problem with medium difficulty
Round 4 - One-on-one 

(1 Question)

  • Q1. Asked why I switched so much
Round 5 - HR 

(1 Question)

  • Q1. Asking if working in AWS squad is what I would like instead of big data

Interview Preparation Tips

Interview preparation tips for other job seekers - If you can complete their coding test probably you are good to go.

AWS Data Engineer Jobs at Fractal Analytics

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Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - One-on-one 

(3 Questions)

  • Q1. What is Overfitting in decision tree
  • Ans. 

    Overfitting in decision trees occurs when the model learns noise in the training data rather than the underlying pattern.

    • Overfitting happens when the decision tree is too complex and captures noise in the training data.

    • It leads to poor generalization on unseen data, as the model is too specific to the training set.

    • To prevent overfitting, techniques like pruning, setting a minimum number of samples per leaf, or using en

  • Answered by AI
  • Q2. What is bagging
  • Ans. 

    Bagging is a machine learning ensemble technique where multiple models are trained on different subsets of the training data and their predictions are combined.

    • Bagging stands for Bootstrap Aggregating.

    • It helps reduce overfitting by combining the predictions of multiple models.

    • Random Forest is a popular algorithm that uses bagging by training multiple decision trees on random subsets of the data.

  • Answered by AI
  • Q3. What is neuron How its used in DL
  • Ans. 

    A neuron is a basic unit of a neural network that receives input, processes it, and produces an output.

    • Neurons are inspired by biological neurons in the human brain.

    • They receive input signals, apply weights to them, sum them up, and pass the result through an activation function.

    • Neurons are organized in layers in a neural network, with each layer performing specific tasks.

    • In deep learning, multiple layers of neurons ar...

  • Answered by AI

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 Aug 2024. There were 4 interview rounds.

Round 1 - Aptitude Test 

It was having basic aptitude questions

Round 2 - Communication 

(2 Questions)

  • Q1. They asked basic english question
  • Q2. And alos topic was provided so we had to speak on it.
Round 3 - Technical 

(2 Questions)

  • Q1. SQL syntax and difference between having and where clause
  • Ans. 

    HAVING clause is used with GROUP BY to filter grouped rows, WHERE clause is used to filter individual rows.

    • HAVING clause is used with GROUP BY to filter grouped rows based on aggregate functions

    • WHERE clause is used to filter individual rows based on conditions

    • HAVING clause is applied after GROUP BY, WHERE clause is applied before GROUP BY

    • HAVING clause can only be used with SELECT statement that contains a GROUP BY clau

  • Answered by AI
  • Q2. Difference between array and linkedlist,stack and queue
  • Ans. 

    Arrays store elements in contiguous memory, while linked lists use nodes with pointers. Stacks follow LIFO, queues follow FIFO.

    • Arrays store elements in contiguous memory locations, allowing for constant time access to elements using indices.

    • Linked lists use nodes with pointers to the next node, allowing for dynamic memory allocation and insertion/deletion at any position.

    • Stacks follow Last In First Out (LIFO) principle...

  • Answered by AI
Round 4 - HR 

(2 Questions)

  • Q1. Tell me about your self
  • Ans. 

    I am a data science enthusiast with a strong background in statistics and machine learning.

    • Completed coursework in data analysis, statistical modeling, and predictive analytics

    • Proficient in programming languages such as Python, R, and SQL

    • Experience with data visualization tools like Tableau and Power BI

    • Worked on projects involving regression analysis, clustering, and classification algorithms

  • Answered by AI
  • Q2. Why you want to join this role
  • Ans. 

    I am passionate about using data to solve complex problems and make informed decisions.

    • I have a strong background in statistics, mathematics, and programming, which are essential skills for a data science role.

    • I am excited about the opportunity to work with real-world data and apply machine learning algorithms to extract valuable insights.

    • I am eager to learn from experienced data scientists and contribute to innovative

  • Answered by AI

Skills evaluated in this interview

Senior Data Analyst Interview Questions & Answers

Subex user image Narendra Pendurthi

posted on 6 Aug 2024

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

(3 Questions)

  • Q1. Questions about SQL
  • Q2. Questions about python dataframes
  • Q3. Difference between random forest and decision tree
  • Ans. 

    Random forest is an ensemble learning method using multiple decision trees to improve accuracy and reduce overfitting.

    • Random forest uses multiple decision trees to make predictions.

    • Decision tree is a single tree structure used for classification and regression.

    • Random forest reduces overfitting by averaging the predictions of multiple trees.

    • Decision tree can be prone to overfitting if not pruned properly.

    • Random forest i...

  • Answered by AI

Skills evaluated in this interview

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

(1 Question)

  • Q1. SQL, excel, python and power Bi

I applied via Campus Placement and was interviewed in Oct 2022. 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 - Aptitude Test 

SQL and quant, logical questions were asked.

Round 3 - Technical 

(1 Question)

  • Q1. 1. Tell me about your self 2. Resume based questions 3. Need to write basic SQL queries and also print same output using pandas
Round 4 - Technical 

(1 Question)

  • Q1. 1. Tell me about your self 2. Statistics questions 3. Guestimates 4. Why do you want to join company

Interview Preparation Tips

Interview preparation tips for other job seekers - Have a knowledge on your resume completely and prepare SQL and python libraries very well. Practice guestimates questions as well.

I applied via Recruitment Consulltant and was interviewed in Mar 2022. There were 3 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. SQL, spark, hadoop, Linux,python
Round 2 - Technical 

(1 Question)

  • Q1. System design, real time data ingestion architecture and processing
Round 3 - HR 

(1 Question)

  • Q1. Strength and weakness

Interview Preparation Tips

Interview preparation tips for other job seekers - Strong SQL, python and spark , aws knowledge is important to crack

I applied via AngelList and was interviewed before Jun 2021. 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 - HR 

(1 Question)

  • Q1. Behaviour round questions were asked

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare basics of python and behavioral questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
-

I applied via Campus Placement and was interviewed in Aug 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

First round was aptitude, communication test and a pseudo code question and all are elimination rounds if you passes all the rounds you will get an interview date....

Round 2 - One-on-one 

(2 Questions)

  • Q1. Good Knowledge on dbms, sql
  • Q2. Python basic questions
Round 3 - HR 

(1 Question)

  • Q1. Very liberal questions about yourself, relocation, etc..

Interview Preparation Tips

Interview preparation tips for other job seekers - knowledge on sql, dbms, python , case studies, puzzles
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Oct 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Python coding and sql coding

Round 2 - Technical 

(2 Questions)

  • Q1. List all the string which start with 'a'
  • Ans. 

    List of strings starting with 'a'

    • Use a loop to iterate through each string

    • Check if each string starts with 'a'

    • Add the string to the list if it starts with 'a'

  • Answered by AI
  • Q2. Find out max value from the given table
  • Ans. 

    Use SQL query to find max value from a table

    • Use SQL query SELECT MAX(column_name) FROM table_name;

    • For example, SELECT MAX(salary) FROM employees;

    • Ensure proper column name and table name are used in the query

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - great experience

Skills evaluated in this interview

Fractal Analytics Interview FAQs

How many rounds are there in Fractal Analytics AWS Data Engineer interview?
Fractal Analytics interview process usually has 6 rounds. The most common rounds in the Fractal Analytics interview process are Technical, HR and Resume Shortlist.
How to prepare for Fractal Analytics AWS 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 Fractal Analytics. The most common topics and skills that interviewers at Fractal Analytics expect are AWS, EMR, AWS Glue, Data Engineering and Quality Control Management.
What are the top questions asked in Fractal Analytics AWS Data Engineer interview?

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

  1. First Letter of firstname in a column in any data manipulation package supporte...read more
  2. Basic Leetcode problem with medium difficu...read more
  3. Windows function based sql prob...read more

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Fractal Analytics AWS Data Engineer Salary
based on 5 salaries
₹16.3 L/yr - ₹22 L/yr
96% more than the average AWS Data Engineer Salary in India
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Fractal Analytics AWS Data Engineer Reviews and Ratings

based on 1 review

3.0/5

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3.0

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3.0

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3.0

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3.0

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3.0

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3.0

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Explore 1 Review and Rating
Python+AWS Data Engineer

Noida,

Mumbai

+4

4-7 Yrs

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AWS Data Engineer

Mumbai,

Pune

+3

2-10 Yrs

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