Upload Button Icon Add office photos

Filter interviews by

Jio Platforms Big Data Engineer Interview Questions and Answers

Updated 27 Oct 2023

Jio Platforms Big Data Engineer Interview Experiences

1 interview found

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

I applied via Campus Placement and was interviewed before Oct 2022. There were 3 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 

Basic coding was asked

Round 3 - Technical 

(5 Questions)

  • Q1. Technical questions around data structures and projects related technologies
  • Q2. Machine learning basics
  • Q3. Python coding question
  • Q4. Computer fundamentals
  • Q5. Oops concepts was asked

Interview Preparation Tips

Interview preparation tips for other job seekers - Just prepare well

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I was interviewed in Nov 2024.

Round 1 - One-on-one 

(7 Questions)

  • Q1. Command to check disk utilisation and health in Hadoop
  • Ans. 

    Use 'hdfs diskbalancer' command to check disk utilisation and health in Hadoop

    • Run 'hdfs diskbalancer -report' to get a report on disk utilisation

    • Use 'hdfs diskbalancer -plan <path>' to generate a plan for balancing disk usage

    • Check the Hadoop logs for any disk health issues

  • Answered by AI
  • Q2. Spark Architecture & the significance of each member of spark Architecture
  • Ans. 

    Spark Architecture consists of Driver, Cluster Manager, and Executors. Driver manages the execution of Spark jobs.

    • Driver: Manages the execution of Spark jobs, converts user code into tasks, and coordinates with Cluster Manager.

    • Cluster Manager: Manages resources across the cluster and allocates resources to Spark applications.

    • Executors: Execute tasks assigned by the Driver and store data in memory or disk for further pr...

  • Answered by AI
  • Q3. Partitioning and bucketing
  • Q4. Spark optimization techniques
  • Ans. 

    Optimization techniques in Spark improve performance and efficiency of data processing.

    • Partitioning data to distribute workload evenly

    • Caching frequently accessed data in memory

    • Using broadcast variables for small lookup tables

    • Avoiding shuffling operations whenever possible

    • Tuning memory settings and garbage collection parameters

  • Answered by AI
  • Q5. Second highest salary
  • Ans. 

    I am unable to provide this information as it is confidential.

    • Confidential information about salaries in previous organizations should not be disclosed.

    • It is important to respect the privacy and confidentiality of past employers.

    • Discussing specific salary details may not be appropriate in a professional setting.

  • Answered by AI
  • Q6. Pivot table creation in SQL from not pivot one
  • Ans. 

    To create a pivot table in SQL from a non-pivot table, you can use the CASE statement with aggregate functions.

    • Use the CASE statement to categorize data into columns

    • Apply aggregate functions like SUM, COUNT, AVG, etc. to calculate values for each category

    • Group the data by the columns you want to pivot on

  • Answered by AI
  • Q7. How to create triggers
  • Ans. 

    Creating triggers in a database involves defining the trigger, specifying the event that will activate it, and writing the code to be executed.

    • Define the trigger using the CREATE TRIGGER statement

    • Specify the event that will activate the trigger (e.g. INSERT, UPDATE, DELETE)

    • Write the code or actions to be executed when the trigger is activated

    • Test the trigger to ensure it functions as intended

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Easy to medium questions were asked.
They are focusing on concept basically

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

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

Round 1 - Aptitude Test 

30 Questions in 20 Minutes

Round 2 - Technical 

(1 Question)

  • Q1. Baiscs of SQL,Python,AWS and spark in depth question
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Job Portal and was interviewed in May 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Explain pyspark architecture
  • Ans. 

    PySpark architecture is based on the Apache Spark architecture, with additional components for Python integration.

    • PySpark architecture includes Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX.

    • It allows Python developers to interact with Spark using PySpark API.

    • PySpark architecture enables distributed processing of large datasets using RDDs and DataFrames.

    • It leverages the power of in-memory processing for fast...

  • Answered by AI

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jul 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 

(2 Questions)

  • Q1. Basic Questions of Scala Functional Programming concepts.
  • Q2. Spark internal working and optimization techniques
  • Ans. 

    Spark internal working and optimization techniques

    • Spark uses Directed Acyclic Graph (DAG) for optimizing workflows

    • Lazy evaluation helps in optimizing transformations by combining them into a single stage

    • Caching and persistence of intermediate results can improve performance

    • Partitioning data can help in parallel processing and reducing shuffle operations

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - The interview call was abruptly terminated into 20 mins of call duration, as the HR had another conflicting call. The HR called me over cellphone and told that if the interview panel requested she will let me know and the call can be extended, but the HR did not call, The interview did not extended. Finally they rejected me just after the panel spoke 20 mins with me in the 1st round interview. This shows how unprofessional are they in scheduling an interview call and how could any panel can decide within 20 mins of a discussion. Definitely not recommending anyone to attend Bigdata Engineering interviews here.

Skills evaluated in this interview

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

I applied via LinkedIn and was interviewed in Jun 2023. There were 4 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 - Technical 

(1 Question)

  • Q1. Project overview and spark architecture questions,scala coding questions
Round 3 - Technical 

(1 Question)

  • Q1. Project overview Scala and AWS services questions
Round 4 - HR 

(1 Question)

  • Q1. Asked about multiple switches And experience

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare more on spark internals
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com

Round 1 - Technical 

(2 Questions)

  • Q1. Aws sevices you have worked on
  • Ans. 

    I have worked on various AWS services including S3, EC2, Lambda, Glue, and Redshift.

    • S3 - Used for storing and retrieving data

    • EC2 - Used for running virtual servers

    • Lambda - Used for serverless computing

    • Glue - Used for ETL (Extract, Transform, Load) processes

    • Redshift - Used for data warehousing and analytics

  • Answered by AI
  • Q2. Question on python list and dictionary
Round 2 - Technical 

(1 Question)

  • Q1. Questions on project and skillset

Interview Preparation Tips

Interview preparation tips for other job seekers - 3 rounds basically asked in your resume. Questions matching skillset and project are asked

Skills evaluated in this interview

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

I applied via Company Website and was interviewed in Mar 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Questions mostly revolved around Hadoop , Hive, Spark and SQL

Interview Preparation Tips

Topics to prepare for CGI Group Data Engineer interview:
  • Hadoop
  • Big Data
  • Spark
  • SQL
Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Jun 2023. There were 3 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 tips
Round 2 - Technical 

(3 Questions)

  • Q1. Explain spark internal flow from end to end
  • Ans. 

    Spark internal flow involves job submission, DAG creation, task scheduling, and execution.

    • Job submission: User submits a Spark job to the SparkContext.

    • DAG creation: SparkContext creates a Directed Acyclic Graph (DAG) of the job.

    • Task scheduling: DAGScheduler breaks the DAG into stages and tasks, which are scheduled by TaskScheduler.

    • Task execution: Executors execute the tasks and return results to the driver.

    • Result fetch...

  • Answered by AI
  • Q2. Explain details of hive meta store
  • Ans. 

    Hive meta store stores metadata about Hive tables, partitions, columns, and storage location.

    • Hive meta store is a central repository that stores metadata information about Hive tables, partitions, columns, and storage location.

    • It stores this metadata in a relational database like MySQL, Derby, or PostgreSQL.

    • The metadata includes information such as table names, column names, data types, file formats, and storage locati...

  • Answered by AI
  • Q3. Write sql query for some simple tables
  • Ans. 

    SQL query for simple tables

    • Use SELECT statement to retrieve data

    • Specify the columns you want to select

    • Use FROM clause to specify the tables you are querying from

    • Add WHERE clause to filter the results if needed

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. Depth into data engineer skills
  • Q2. More questions on python programming

Skills evaluated in this interview

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

Basic logical and programming questions

Round 2 - Technical 

(1 Question)

  • Q1. Python and SQL basic questions
Round 3 - HR 

(1 Question)

  • Q1. Salary and relocation discussion

Jio Platforms Interview FAQs

How many rounds are there in Jio Platforms Big Data Engineer interview?
Jio Platforms interview process usually has 3 rounds. The most common rounds in the Jio Platforms interview process are Resume Shortlist, Coding Test and Technical.
What are the top questions asked in Jio Platforms Big Data Engineer interview?

Some of the top questions asked at the Jio Platforms Big Data Engineer interview -

  1. technical questions around data structures and projects related technolog...read more
  2. Machine learning bas...read more
  3. python coding quest...read more

Tell us how to improve this page.

Jio Platforms Big Data Engineer Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more
Jio Platforms Big Data Engineer Salary
based on 43 salaries
₹4 L/yr - ₹9.8 L/yr
38% less than the average Big Data Engineer Salary in India
View more details

Jio Platforms Big Data Engineer Reviews and Ratings

based on 5 reviews

3.0/5

Rating in categories

3.8

Skill development

2.6

Work-life balance

2.3

Salary

4.4

Job security

3.3

Company culture

2.1

Promotions

3.5

Work satisfaction

Explore 5 Reviews and Ratings
Software Developer
549 salaries
unlock blur

₹4.4 L/yr - ₹15.1 L/yr

Software Development Engineer
521 salaries
unlock blur

₹4.5 L/yr - ₹13.2 L/yr

Assistant Manager
463 salaries
unlock blur

₹3 L/yr - ₹10 L/yr

Product Manager
417 salaries
unlock blur

₹11.9 L/yr - ₹40 L/yr

Deputy Manager
350 salaries
unlock blur

₹5 L/yr - ₹19.4 L/yr

Explore more salaries
Compare Jio Platforms with

Jio

3.9
Compare

Reliance Industries

4.0
Compare

Bharti Airtel

4.0
Compare

Vodafone Idea

4.1
Compare
Did you find this page helpful?
Yes No
write
Share an Interview