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Fractal Analytics Senior Data Engineer Interview Questions and Answers

Updated 23 May 2024

Fractal Analytics Senior Data Engineer Interview Experiences

3 interviews found

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

I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Interviews question about adf adls gen2 ,databricks and experience
  • Ans. One might ask you on how can one configure these
  • Answered Anonymously
  • Q2. Transformations in databricks
  • Ans. 

    Transformations in Databricks involve manipulating data using functions like map, filter, reduce, etc.

    • Transformations are operations that are applied to RDDs in Databricks

    • Common transformations include map, filter, reduce, flatMap, etc.

    • Transformations are lazy evaluated and create a new RDD

    • Example: map transformation to convert each element in an RDD to uppercase

  • Answered by AI
  • Q3. Concepts in spark
  • Ans. 

    Spark is a distributed computing framework for processing big data.

    • Spark is built around the concept of Resilient Distributed Datasets (RDDs)

    • It supports various programming languages like Scala, Java, Python, and R

    • Spark provides high-level APIs like DataFrames and Datasets for structured data processing

    • It includes libraries for SQL, streaming, machine learning, and graph processing

    • Spark can run on various cluster manag

  • Answered by AI
Round 2 - Technical 

(3 Questions)

  • Q1. In depth discussion on projects
  • Q2. Performance enhancemnets in pyspark
  • Ans. 

    Performance enhancements in PySpark involve optimizing code, tuning configurations, and utilizing efficient data structures.

    • Use partitioning to distribute data evenly across nodes

    • Cache intermediate results to avoid recomputation

    • Optimize joins by broadcasting smaller tables

    • Use efficient data formats like Parquet or ORC

    • Tune Spark configurations for memory and parallelism

  • Answered by AI
  • Q3. Data handling and data quality

Skills evaluated in this interview

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

I applied via Approached by Company and was interviewed before Feb 2023. There were 3 interview rounds.

Round 1 - Coding Test 

It was a hackerearth test ranging from simple to intermediate

Round 2 - Technical 

(2 Questions)

  • Q1. Basic on Pyspark, Hive
  • Q2. Basic on SQL related
Round 3 - Technical 

(1 Question)

  • Q1. It was tougher round with coding questions

Interview Preparation Tips

Topics to prepare for Fractal Analytics Senior Data Engineer interview:
  • Spark
  • Hadoop
  • Hive
  • SQL

Senior Data Engineer Interview Questions Asked at Other Companies

asked in 7 Eleven
Q1. Write a query to get the customer with the highest total order va ... read more
asked in 7 Eleven
Q2. There are 10 million records in the table and the schema does not ... read more
asked in 7 Eleven
Q3. How do you handle data pipeline when the schema information keeps ... read more
asked in 7 Eleven
Q4. Difference between Parquet and ORC file. Why industry uses parque ... read more
asked in 7 Eleven
Q5. What is Normalisation and Denormalisation? When do we use them? G ... read more

I applied via Naukri.com and was interviewed before Nov 2021. 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 - Coding Test 

Language coding test which might be very specific to the proficient for data technologies

Round 3 - Technical 

(1 Question)

  • Q1. More of basic understanding on the concepts of processing of data and related technologies
Round 4 - Technical 

(1 Question)

  • Q1. In terms of architecture understanding and designing perspective

Interview Preparation Tips

Interview preparation tips for other job seekers - Should be good in basics of data understanding and it's processing

Interview questions from similar companies

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
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 Sep 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Problems related to Binary Search
  • Q2. Problem statement on BST

Interview Preparation Tips

Interview preparation tips for other job seekers - DSA basics
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
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Mar 2024. There were 5 interview rounds.

Round 1 - Coding Test 

Starts with an online assessment test on HackerRank. Expect a LeetCode Medium question most of the time, mostly created by HackerRank.

Round 2 - One-on-one 

(2 Questions)

  • Q1. LC medium related to dynamic programming.
  • Q2. LC easy related to heaps.
Round 3 - One-on-one 

(1 Question)

  • Q1. LC medium-hard, don't remember the category.
Round 4 - One-on-one 

(1 Question)

  • Q1. This was a design round. You can expect to be asked to design the DB schema and API endpoints for a well-known use case. Interviewer was super helpful and receptive throughout. While getting to an agreeabl...
Round 5 - One-on-one 

(1 Question)

  • Q1. Hiring manager round. Mostly discussions about your profile, discussion on past projects from your resume. You can do well in this round if you know your basics and can explain your projects to some depth....

Interview Preparation Tips

Interview preparation tips for other job seekers - Apart from DSA (which is very important in the initial rounds, I would say), putting down your understanding of your past projects in a doc and refining it should help in most conversations you have throughout the interview process. Also brush up on schema design, normalisation, and API design.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Reverse a linked list
  • Ans. 

    Reverse a linked list by changing the direction of pointers

    • Start with three pointers: current, previous, and next

    • Iterate through the linked list, updating pointers to reverse the direction

    • Update the head of the linked list to be the last node visited

  • Answered by AI

Skills evaluated in this interview

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

Written test was in python where we have output based questions

Round 2 - Technical 

(1 Question)

  • Q1. Move zeros to the end of the array
  • Ans. 

    Move all zeros in an array of strings to the end.

    • Iterate through the array and move all zeros to the end by swapping with non-zero elements.

    • Maintain a pointer to keep track of the position to swap with zeros.

    • Example: Input: ['a', 'b', 'c', '0', 'd', '0'], Output: ['a', 'b', 'c', 'd', '0', '0']

  • Answered by AI

Skills evaluated in this interview

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

I applied via Job Portal and was interviewed in Sep 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

DSA, SUM Practice, DSA SUM

Round 2 - Coding Test 

DSA Sum Practice DSA Sum

Fractal Analytics Interview FAQs

How many rounds are there in Fractal Analytics Senior Data Engineer interview?
Fractal Analytics interview process usually has 3 rounds. The most common rounds in the Fractal Analytics interview process are Technical, Coding Test and Resume Shortlist.
How to prepare for Fractal Analytics Senior 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 SQL, Python, SDLC, Analytics and Data Engineering.
What are the top questions asked in Fractal Analytics Senior Data Engineer interview?

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

  1. Performance enhancemnets in pysp...read more
  2. Transformations in databri...read more
  3. Concepts in sp...read more

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Fractal Analytics Senior Data Engineer Interview Process

based on 2 interviews

Interview experience

4.5
  
Good
View more

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Fractal Analytics Senior Data Engineer Salary
based on 149 salaries
₹15 L/yr - ₹40 L/yr
48% more than the average Senior Data Engineer Salary in India
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Fractal Analytics Senior Data Engineer Reviews and Ratings

based on 14 reviews

4.1/5

Rating in categories

4.1

Skill development

4.0

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4.1

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4.4

Job security

4.4

Company culture

3.0

Promotions

3.6

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