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Systech Solutions Data Engineer Trainee Interview Questions and Answers

Updated 26 Apr 2023

Systech Solutions Data Engineer Trainee Interview Experiences

1 interview found

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

I applied via Recruitment Consulltant and was interviewed before Apr 2022. 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 

We had 2 rounds of tests, round - 1 had aptitude questions, SQL questions and English questions

Round 3 - Technical 

(1 Question)

  • Q1. Asked questions related to SQL and python. Like aggregate functions, joins, order of query execution etc
Round 4 - HR 

(1 Question)

  • Q1. General questions,

Interview questions from similar companies

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
1
Bad
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

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

Round 1 - Technical 

(4 Questions)

  • Q1. Trusted work and women useful this work
  • Q2. This work work from home
  • Q3. I want this job to take good care of my family
  • Q4. This work confirm sir

Interview Preparation Tips

Interview preparation tips for other job seekers - This work iam interest work
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Jun 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 - Technical 

(1 Question)

  • Q1. Asked questions related to data analytics , prepare for SQL, dash boarding, and visualization based questions
Round 3 - One-on-one 

(1 Question)

  • Q1. Its a general discussion to check fit for the company culture and environment
Round 4 - HR 

(1 Question)

  • Q1. General salary negotiation
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed before Dec 2023. There were 3 interview rounds.

Round 1 - Coding Test 

SQL Test with 5 questions

Round 2 - Technical 

(2 Questions)

  • Q1. Approach towards solving the SQL Queries from the test
  • Q2. Past Experiences
Round 3 - One-on-one 

(2 Questions)

  • Q1. Resume related Questions
  • Q2. Power BI and SQL related questions. How to approach in a dashboard building process

Data Engineer Interview Questions & Answers

Emtec user image Gaurav Pirthani

posted on 1 Nov 2022

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 

(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

Systech Solutions Interview FAQs

How many rounds are there in Systech Solutions Data Engineer Trainee interview?
Systech Solutions interview process usually has 4 rounds. The most common rounds in the Systech Solutions interview process are Resume Shortlist, Aptitude Test and Technical.
What are the top questions asked in Systech Solutions Data Engineer Trainee interview?

Some of the top questions asked at the Systech Solutions Data Engineer Trainee interview -

  1. Asked questions related to SQL and python. Like aggregate functions, joins, ord...read more
  2. General questio...read more

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Systech Solutions Data Engineer Trainee Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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Systech Solutions Data Engineer Trainee Salary
based on 11 salaries
₹4 L/yr - ₹4.5 L/yr
15% less than the average Data Engineer Trainee Salary in India
View more details

Systech Solutions Data Engineer Trainee Reviews and Ratings

based on 2 reviews

3.0/5

Rating in categories

4.0

Skill development

3.5

Work-life balance

3.5

Salary

3.0

Job security

3.5

Company culture

4.0

Promotions

4.0

Work satisfaction

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