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Futurense Technologies Data Specialist Interview Questions and Answers

Updated 22 May 2023

Futurense Technologies Data Specialist Interview Experiences

3 interviews found

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

I applied via Naukri.com and was interviewed in Nov 2022. There were 5 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 - Assignment 

30 mcqs and 2 coding questions on both sql and python

Round 3 - Technical 

(3 Questions)

  • Q1. Coding questions on python problem solving related lists,tuples,dictionaries
  • Q2. Sql queries on joins,subqueries and window functions
  • Q3. Theory questions on python and sql
Round 4 - Behavioral 

(2 Questions)

  • Q1. Explanation about my projects
  • Ans. 

    I have worked on various data projects involving data analysis, data cleaning, and data visualization.

    • Developed a data analysis tool using Python and SQL to analyze customer behavior and identify trends.

    • Cleaned and transformed large datasets using Excel and Python to ensure data accuracy and consistency.

    • Created interactive dashboards using Tableau to visualize key performance indicators and present insights to stakehol

  • Answered by AI
  • Q2. Asked some scenario based questions
Round 5 - HR 

(1 Question)

  • Q1. Just explained on company related info and asked for any queries from end

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well in sql and python if you are appearing for this interview..don't commit malpractices as that is not final....without talent if you come here it will be difficult for you to learn all that tech stack and cracking interviews while deployment .
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Jan 2023. 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 

On python and sql code and meq on python and sql

Round 3 - Technical 

(2 Questions)

  • Q1. Basic python and sql
  • Q2. Duplicate in list ,variable length arguments
Round 4 - HR 

(1 Question)

  • Q1. Yet to done i dont have any knolage on this

Interview Preparation Tips

Interview preparation tips for other job seekers - simple and avg interview please prepare on sql and python easy questins

Data Specialist Interview Questions Asked at Other Companies

asked in Forage AI
Q1. How much data you have handled and what is data for you?
asked in Novartis
Q2. What is SDTM,? Uses of SDTM? What is to be done when you add new ... read more
Q3. How do I handle missing values in a dataFrame?
Q4. What is the difference between count and countA ?
Q5. What is the difference between SumIf and countIF?
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Nov 2022. There were 4 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 - Aptitude Test 

20 MCQ's on SQL and Python. 2 coding questions one from Python and SQL.
Level: Intermediate.

Round 3 - Coding Test 

Focus more on Subqueries, Window functions.
Pandas and Numpy in Python.

Round 4 - HR 

(1 Question)

  • Q1. How to you deal a problematic employee working for the same project.
  • Ans. 

    To deal with a problematic employee, address the issue directly, provide clear expectations, offer support and guidance, and consider disciplinary actions if necessary.

    • Address the issue directly and communicate concerns

    • Provide clear expectations and goals for the project

    • Offer support and guidance to help the employee improve

    • Consider disciplinary actions if the problem persists

    • Document incidents and maintain a record of

  • Answered by AI

Interview questions from similar companies

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

I applied via Recruitment Consulltant and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. 30 min Technical Round for Qliksense. In average interviews mostly they ask based on Scenarios. If having good knowledge of set analysis , Section Access and join easy-to-crack
Round 2 - Technical 

(1 Question)

  • Q1. 2nd Round is managerial with basic technical

Interview Preparation Tips

Interview preparation tips for other job seekers - Be Aware of the basis of Qliksense.
Mostly scenario basis questions will ask
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Primary skill related questions
  • Q2. Primary skill related questions were asked
Round 2 - HR 

(1 Question)

  • Q1. Details asked for HR process

I applied via Campus Placement and was interviewed before Jul 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Joined as a fresher, basic C program algo

Interview Preparation Tips

Interview preparation tips for other job seekers - Very easy to crack

I applied via Walk-in and was interviewed before Feb 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Interview mainly asked about spark architecture.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well with the basic

Interview Questionnaire 

1 Question

  • Q1. What is the architecture of Spark
  • Ans. 

    Spark has a master-slave architecture with a cluster manager and worker nodes.

    • Spark has a driver program that communicates with a cluster manager to allocate resources and schedule tasks.

    • The cluster manager can be standalone, Mesos, or YARN.

    • Worker nodes execute tasks and store data in memory or on disk.

    • Spark can also utilize external data sources like Hadoop Distributed File System (HDFS) or Amazon S3.

    • Spark supports va...

  • Answered by AI

Skills evaluated in this interview

Round 1 - Coding Test 

Basic Questions on python related to strings

Round 2 - Technical 

(2 Questions)

  • Q1. What method to reduce time complexity
  • Q2. Which technology will suit a particylar situation
  • Ans. 

    Choosing the right technology depends on the specific requirements of the situation.

    • Consider the data size and complexity

    • Evaluate the processing speed and scalability

    • Assess the cost and availability of the technology

    • Take into account the skillset of the team

    • Examples: Hadoop for big data, Spark for real-time processing, AWS for cloud-based solutions

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - All the best. Be prepared for the Python questions.Try to attempt them from Hackerrank.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(5 Questions)

  • Q1. Tell me about your current project? Have you used any AWS services?
  • Q2. Can you explain about EMR andEC2 instance?
  • Ans. 

    EMR is a managed Hadoop framework for processing large amounts of data, while EC2 is a scalable virtual server in AWS.

    • EMR stands for Elastic MapReduce and is a managed Hadoop framework for processing large amounts of data.

    • EC2 stands for Elastic Compute Cloud and is a scalable virtual server in Amazon Web Services (AWS).

    • EMR allows for easy provisioning and scaling of Hadoop clusters, while EC2 provides resizable compute...

  • Answered by AI
  • Q3. What type of schemas did you use for your project. (Star schema, Snowflake Schema)
  • Ans. 

    I have experience working with both Star and Snowflake schemas in my projects.

    • Star schema is a denormalized schema where one central fact table is connected to multiple dimension tables.

    • Snowflake schema is a normalized schema where dimension tables are further normalized into sub-dimension tables.

    • Used Star schema for simpler, smaller datasets where performance is a priority.

    • Used Snowflake schema for complex, larger dat...

  • Answered by AI
  • Q4. Have you used python, pyspark in your projects?
  • Ans. 

    Yes, I have used Python and PySpark in my projects for data engineering tasks.

    • I have used Python for data manipulation, analysis, and visualization.

    • I have used PySpark for big data processing and distributed computing.

    • I have experience in writing PySpark jobs to process large datasets efficiently.

  • Answered by AI
  • Q5. Do you have any experience with serverless schema?
  • Ans. 

    Yes, I have experience with serverless schema.

    • I have worked with AWS Lambda to build serverless applications.

    • I have experience using serverless frameworks like Serverless Framework or AWS SAM.

    • I have designed and implemented serverless architectures using services like AWS API Gateway and AWS DynamoDB.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for real time job experience. Most of the questions they ask are looking for your experience with real time projects.

Skills evaluated in this interview

Futurense Technologies Interview FAQs

How many rounds are there in Futurense Technologies Data Specialist interview?
Futurense Technologies interview process usually has 4-5 rounds. The most common rounds in the Futurense Technologies interview process are HR, Resume Shortlist and Technical.
How to prepare for Futurense Technologies Data Specialist 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 Futurense Technologies. The most common topics and skills that interviewers at Futurense Technologies expect are Big Data, Data Analysis, Data Analytics, Data Visualization and Database Management.
What are the top questions asked in Futurense Technologies Data Specialist interview?

Some of the top questions asked at the Futurense Technologies Data Specialist interview -

  1. Coding questions on python problem solving related lists,tuples,dictionar...read more
  2. Sql queries on joins,subqueries and window functi...read more
  3. Just explained on company related info and asked for any queries from ...read more

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Futurense Technologies Data Specialist Interview Process

based on 3 interviews

1 Interview rounds

  • Resume Shortlist Round
View more

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Futurense Technologies Data Specialist Salary
based on 91 salaries
₹3.5 L/yr - ₹9 L/yr
34% less than the average Data Specialist Salary in India
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Futurense Technologies Data Specialist Reviews and Ratings

based on 22 reviews

2.7/5

Rating in categories

3.5

Skill development

2.8

Work-life balance

2.6

Salary

2.3

Job security

3.0

Company culture

2.4

Promotions

2.7

Work satisfaction

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