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Target Big Data Engineer Interview Questions and Answers

Updated 23 Jun 2024

Target Big Data Engineer Interview Experiences

1 interview found

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 May 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Mostly on question on DSA and SQL for the role which applied for.

Round 2 - Technical 

(2 Questions)

  • Q1. About Tech stacks
  • Q2. Core knowledge on techs
Round 3 - HR 

(2 Questions)

  • Q1. Project explanantion
  • Q2. Real-time problem solving

Interview Preparation Tips

Topics to prepare for Target Big Data Engineer interview:
  • DSA
Interview preparation tips for other job seekers - Great, Interview process it was Walk-in for me which went very smoothly with proper response from the team on timely basis.

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
-
Result
Not Selected

I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.

Round 1 - Technical 

(5 Questions)

  • Q1. Wxaplinnyour project
  • Q2. How would you build a pipeline to connect http source and bring data in adls
  • Ans. 

    Build a pipeline to connect http source and bring data in adls

    • Set up a data ingestion tool like Apache NiFi or Azure Data Factory to pull data from the http source

    • Transform the data as needed using tools like Apache Spark or Azure Databricks

    • Store the data in Azure Data Lake Storage (ADLS) for further processing and analysis

  • Answered by AI
  • Q3. Dimension and fact tabel difference
  • Ans. 

    Dimension tables store descriptive attributes while fact tables store quantitative data.

    • Dimension tables contain attributes that describe the business entities, such as customer, product, or time.

    • Fact tables contain quantitative data or metrics that are typically numeric and additive, such as sales revenue or quantity sold.

    • Dimension tables are denormalized and have a one-to-many relationship with fact tables.

    • Fact table...

  • Answered by AI
  • Q4. Write slq query to get employee having 2manager
  • Ans. 

    Use a self join to find employees with 2 managers in SQL query.

    • Use a self join on the employee table to join the table with itself.

    • Count the number of distinct managers for each employee.

    • Filter the results to only include employees with 2 managers.

  • Answered by AI
  • Q5. Get second highest salary usingSQL

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
No response

I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Bias and variance with respect to model
  • Ans. 

    Bias and variance are two types of errors that can occur in a model.

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

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

    • Balancing bias and variance is crucial for creating a model that generalizes well to unseen data.

  • Answered by AI
  • Q2. Hypotheses test

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Intermediate level SQL questions using joins and case when
  • Q2. String manipulation advanced level question in python
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Coding Test 

Python and sql based questions

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

(2 Questions)

  • Q1. About pyspark questions
  • Q2. About etl tools
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Job Portal

Round 1 - Coding Test 

A/B Testing, data structures

Interview Preparation Tips

Interview preparation tips for other job seekers - Study a/b testing
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. SQL based questions
Round 2 - One-on-one 

(1 Question)

  • Q1. Role, responsibilities, situational based questions
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Jan 2024. There were 4 interview rounds.

Round 1 - Assignment 

Data entry, system operator,sales management, coding sarvese

Round 2 - Coding Test 

Sales management
coding sarvese
data entry
System operator working

Round 3 - Technical 

(2 Questions)

  • Q1. Which was the data entry meening
  • Q2. System operator
Round 4 - Aptitude Test 

Sales management
Coding sarvese
Operator working sales management
Group discussion

Interview Preparation Tips

Topics to prepare for Metro Cash & Carry Data Entry Operator interview:
  • Physiotherapy
  • Accounting
  • MS Office
  • HTML
  • SQL
  • Design
  • Training
  • Data Entry Operation
  • Software
  • Control System
  • Hardware
  • Production
  • Team Management
  • Networking
  • New Market Development
  • Internet
  • C++
  • Java
  • Business Development
  • Coordination
  • Javascript
  • Communication Skills
  • SQL Server
  • Data Entry
  • Administration
  • Operations
Interview preparation tips for other job seekers - Data entry
System operator
Online work
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Nov 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 - HR 

(5 Questions)

  • Q1. Normal interviewer questions
  • Q2. Personal Details Previous job related Most important your Excel knowledge
  • Q3. Personal Details
  • Q4. Previous job related
  • Q5. Excel knowledge

Interview Preparation Tips

Topics to prepare for Shoppers Stop Data Entry Operator interview:
  • Excel knowledge
Interview preparation tips for other job seekers - This designation job is good for freshers and those who want need work experience also that candidate who want complete there education with earning.
Those candidates they don't have any other company opportunities
This is permanent job but you can't consider life long feature job
Here is very difficult to get promoted because this designation job is third party job

Target Interview FAQs

How many rounds are there in Target Big Data Engineer interview?
Target interview process usually has 3 rounds. The most common rounds in the Target interview process are Coding Test, Technical and HR.
How to prepare for Target Big 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 Target. The most common topics and skills that interviewers at Target expect are Agile, Operations, Python, SCALA and Automation.
What are the top questions asked in Target Big Data Engineer interview?

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

  1. Core knowledge on te...read more
  2. Real-time problem solv...read more
  3. Project explanant...read more

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Target Big Data Engineer Salary
based on 9 salaries
₹6.9 L/yr - ₹25.1 L/yr
46% more than the average Big Data Engineer Salary in India
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Target Big Data Engineer Reviews and Ratings

based on 1 review

5.0/5

Rating in categories

5.0

Skill development

5.0

Work-Life balance

4.0

Salary & Benefits

5.0

Job Security

5.0

Company culture

5.0

Promotions/Appraisal

5.0

Work Satisfaction

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