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Blend360 Data Engineer Interview Questions and Answers

Updated 4 Jan 2023

Blend360 Data Engineer Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
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 

2 Python Programs and a sql test at basic level

Round 3 - Technical 

(2 Questions)

  • Q1. Big data questions mostly
  • Q2. Spark related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - do leetcode and big data fundamentals. Mostly questions on past experiences.

Interview questions from similar companies

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

1st round was Aptitude, which is average difficultly level.

Round 2 - Group Discussion 

2nd round was Group Discussions, here they only check our communication.

Round 3 - Technical 

(5 Questions)

  • Q1. Techincal Round, here the technical questions about our bachgroud were asked. They will ask questions based on our resume.
  • Q2. What is Artificial Intelligence?
  • Ans. 

    Artificial Intelligence is the simulation of human intelligence processes by machines, especially computer systems.

    • AI involves machines performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

    • Machine learning is a subset of AI that enables machines to learn from data and improve their performance over time.

    • Examples of AI applic...

  • Answered by AI
  • Q3. What is Power BI?
  • Ans. 

    Power BI is a business analytics tool by Microsoft that provides interactive visualizations and business intelligence capabilities.

    • Power BI is a data visualization tool used to create interactive reports and dashboards.

    • It allows users to connect to various data sources, clean and transform data, and create visually appealing reports.

    • Power BI offers a wide range of visualization options such as charts, graphs, maps, and...

  • Answered by AI
  • Q4. How to load Data in Power BI?
  • Ans. 

    Data can be loaded in Power BI by connecting to various data sources like Excel, SQL databases, online services, etc.

    • Connect to data sources by clicking on 'Get Data' in Power BI

    • Select the desired data source (e.g. Excel, SQL Server, SharePoint, etc.)

    • Choose the specific data tables or queries to import into Power BI

    • Transform and clean the data using Power Query Editor if needed

    • Load the data into Power BI model for visu

  • Answered by AI
  • Q5. Explain about your final year project?
  • Ans. 

    Developed a predictive analytics model for predicting customer churn in a telecom company.

    • Used machine learning algorithms like logistic regression and random forest for analysis.

    • Performed data preprocessing, feature engineering, and model evaluation.

    • Achieved an accuracy of 85% in predicting customer churn.

    • Presented findings and recommendations to the telecom company's management team.

  • Answered by AI

Skills evaluated in this interview

Data Engineer Interview Questions & Answers

Emtec user image Gaurav Pirthani

posted on 1 Nov 2022

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 

(3 Questions)

  • Q1. Python - find max from array without using built in function
  • Ans. 

    Find max from array in Python without using built-in function.

    • Iterate through the array and compare each element with a variable storing the current maximum value.

    • If the element is greater than the current maximum, update the variable.

    • Return the variable after iterating through the entire array.

  • Answered by AI
  • Q2. Spark cluster configuration
  • Q3. Python split data interview question

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for programming language in detail as the recruiter is looking for coding knowledge rather than spark sql

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 Jul 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Full c concept MCQ with IQ and Computaional Thinking

Round 2 - Technical 

(2 Questions)

  • Q1. Number system convertion in c
  • Ans. 

    Number system conversion in C involves converting numbers between different bases, such as decimal to binary or hexadecimal.

    • Use functions like itoa() to convert integers to strings in different bases

    • Use strtol() to convert strings to integers in different bases

    • Remember to specify the base when converting numbers

  • Answered by AI
  • Q2. Pointers, struct, Data Structure
Round 3 - One-on-one 

(2 Questions)

  • Q1. Decimal to Binary Convertion
  • Q2. Hexa Decimal to Binary convertion

Skills evaluated in this interview

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

Forecasting problem - Predict daily sku level sales

Round 2 - Technical 

(2 Questions)

  • Q1. What is difference between bias and variance
  • Ans. 

    Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.

    • Bias is the error introduced by approximating a real-world problem, leading to underfitting.

    • Variance is the error introduced by modeling the noise in the training data, leading to overfitting.

    • High bias can cause a model to miss relevant relationships between features and target variable.

    • High variance can cause a model to ...

  • Answered by AI
  • Q2. Parametric vs non parametruc model
  • Ans. 

    Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.

    • Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.

    • Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.

    • Examples of parametric models inc...

  • Answered by AI

Skills evaluated in this interview

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

I applied via campus placement at Anna University and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Puzzles, speed, logical questions

Round 2 - One-on-one 

(2 Questions)

  • Q1. Self introduction
  • Q2. Background and coding knowledge
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Create a procedure
  • Ans. 

    Create a procedure to sort an array of integers in ascending order.

    • Declare a function that takes an array of integers as input

    • Implement a sorting algorithm like bubble sort, selection sort, or insertion sort

    • Return the sorted array

  • Answered by AI
  • Q2. Create xml and declare xml
  • Ans. 

    Creating and declaring XML involves defining the structure and content of the XML document.

    • Define the XML version and encoding at the beginning of the document

    • Declare the root element and any nested elements with opening and closing tags

    • Include attributes within the opening tag to provide additional information

    • Use self-closing tags for elements without content

    • Example: Harry Potter

  • Answered by AI

Skills evaluated in this interview

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

(2 Questions)

  • Q1. DevOps tools related questions
  • Q2. And python programming 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 Mar 2023. 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 - HR 

(1 Question)

  • Q1. Introducing your self, and some basic technical questions.
Round 3 - Technical 

(2 Questions)

  • Q1. Basic core java questions like 1. Why object oriented? 2. Oops concept 3.diffrence between method overloading and overriding 4.static members 5.Occurance of a string 6.why immutable string is? 7.construc...
  • Q2. Basic program in array
Round 4 - Behavioral 

(1 Question)

  • Q1. 1. How to fetching data from html 2. Service about rest API 3. Difference between doget and dopost 4. Sql sub query 5. Collection question
Round 5 - HR 

(1 Question)

  • Q1. Basic question about company and role

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confidence when give your interview.
Round 1 - Coding Test 

Topics:
Python, Django, MySQL, Automation, Technical questions

Round 2 - Technical 

(3 Questions)

  • Q1. Topics: Python, Django, MySQL, Automation, Technical questions
  • Q2. Explain Django Architecture
  • Ans. 

    Django follows Model-View-Controller (MVC) architectural pattern.

    • Django has a high-level architecture that follows the Model-View-Controller (MVC) architectural pattern.

    • The Model layer represents the database schema and business logic.

    • The View layer is responsible for rendering the templates and presenting the data to the user.

    • The Controller layer handles the user's input and interacts with the Model and View layers.

    • Dj...

  • Answered by AI
  • Q3. Difference between XML and JSON
  • Ans. 

    XML is a markup language while JSON is a lightweight data interchange format.

    • XML uses tags to define elements while JSON uses key-value pairs.

    • XML is more verbose and complex than JSON.

    • JSON is easier to read and parse than XML.

    • XML supports namespaces and validation while JSON does not.

    • XML is widely used in web services and document exchange while JSON is preferred for data exchange between applications.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well on Python Django
Showcase your skills

Skills evaluated in this interview

Blend360 Interview FAQs

How many rounds are there in Blend360 Data Engineer interview?
Blend360 interview process usually has 3 rounds. The most common rounds in the Blend360 interview process are Resume Shortlist, Coding Test and Technical.
How to prepare for Blend360 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 Blend360. The most common topics and skills that interviewers at Blend360 expect are SQL, Python, Spark, AWS and Hive.
What are the top questions asked in Blend360 Data Engineer interview?

Some of the top questions asked at the Blend360 Data Engineer interview -

  1. Big data questions mos...read more
  2. spark related questi...read more

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Blend360 Data Engineer Interview Process

based on 1 interview

Interview experience

4
  
Good
View more
Blend360 Data Engineer Salary
based on 12 salaries
₹20.1 L/yr - ₹26.5 L/yr
121% more than the average Data Engineer Salary in India
View more details

Blend360 Data Engineer Reviews and Ratings

based on 3 reviews

3.3/5

Rating in categories

3.0

Skill development

2.7

Work-life balance

3.7

Salary

2.3

Job security

3.4

Company culture

3.7

Promotions

3.0

Work satisfaction

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