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Koch Business Solutions Data Engineer Interview Questions and Answers

Updated 16 Nov 2024

Koch Business Solutions Data Engineer Interview Experiences

2 interviews found

Data Engineer Interview Questions & Answers

user image Mugilarasan V

posted on 16 Nov 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected
Round 1 - Technical 

(1 Question)

  • Q1. More on Technical area
Round 2 - Technical 

(1 Question)

  • Q1. More on Technical area
Round 3 - One-on-one 

(1 Question)

  • Q1. Technical + Behaviour
Round 4 - One-on-one 

(1 Question)

  • Q1. Technical + Behaviour
Round 5 - HR 

(1 Question)

  • Q1. Expectation and Genaral

Data Engineer Interview Questions & Answers

user image Venkatasanjai PM

posted on 4 Mar 2024

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

I applied via Referral

Round 1 - Technical 

(1 Question)

  • Q1. SQL, data modeling
Round 2 - Technical 

(1 Question)

  • Q1. Data pipeline and framework

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Interview questions from similar companies

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

Interview Questionnaire 

1 Question

  • Q1. Questions are mostly on azure concepts,SQL server, and data warehousing concepts

I appeared for an interview in May 2021.

Interview Questionnaire 

2 Questions

  • Q1. Mostly on hive and spark
  • Q2. Spark and hive related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be good in fundamentals and SQL
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Windows functions in sql
  • Ans. 

    Window functions in SQL are used to perform calculations across a set of table rows related to the current row.

    • Window functions are used to calculate values based on a specific subset of rows within a table.

    • They allow for ranking, aggregation, and other calculations without grouping the rows.

    • Examples of window functions include ROW_NUMBER(), RANK(), and SUM() OVER().

  • Answered by AI
  • Q2. Delta lake from Databricks
  • Ans. 

    Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark and big data workloads.

    • Delta Lake is built on top of Apache Spark and provides ACID transactions for big data processing.

    • It allows for schema enforcement and evolution, data versioning, and time travel queries.

    • Delta Lake is compatible with popular data science and machine learning libraries like TensorFlow and PyTorch.

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. Python Lambda Function
  • Q2. What are pods in Kubernetes
  • Ans. 

    Pods are the smallest deployable units in Kubernetes, consisting of one or more containers.

    • Pods are used to run and manage containers in Kubernetes

    • Each pod has its own unique IP address within the Kubernetes cluster

    • Pods can contain multiple containers that share resources and are scheduled together

    • Pods are ephemeral and can be easily created, destroyed, or replicated

    • Pods can be managed and scaled using Kubernetes contr

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
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 - Technical 

(1 Question)

  • Q1. ETL tool, triggers, integration runtime
Round 3 - HR 

(1 Question)

  • Q1. Goals , salary , experience

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Data Structures
  • Q2. Python Lambda Function
Round 2 - HR 

(2 Questions)

  • Q1. What are your Strengths
  • Ans. 

    My strengths include strong analytical skills, attention to detail, and problem-solving abilities.

    • Strong analytical skills - able to analyze complex data sets and derive meaningful insights

    • Attention to detail - meticulous in ensuring data accuracy and quality

    • Problem-solving abilities - adept at identifying and resolving data-related issues

    • Experience with data manipulation tools like SQL, Python, and Spark

  • Answered by AI
  • Q2. Why you are looking for job change
  • Ans. 

    Seeking new challenges and growth opportunities in a different environment.

    • Looking for new challenges to enhance my skills and knowledge

    • Seeking growth opportunities that align with my career goals

    • Interested in exploring different technologies and industries

    • Want to work in a more collaborative team environment

    • Seeking better work-life balance or location proximity

  • Answered by AI

Koch Business Solutions Interview FAQs

How many rounds are there in Koch Business Solutions Data Engineer interview?
Koch Business Solutions interview process usually has 3-4 rounds. The most common rounds in the Koch Business Solutions interview process are Technical, One-on-one Round and HR.
How to prepare for Koch Business Solutions 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 Koch Business Solutions. The most common topics and skills that interviewers at Koch Business Solutions expect are Python, SQL, ETL, Agile and Business Intelligence.
What are the top questions asked in Koch Business Solutions Data Engineer interview?

Some of the top questions asked at the Koch Business Solutions Data Engineer interview -

  1. Expectation and Gena...read more
  2. More on Technical a...read more
  3. Technical + Behavi...read more

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Koch Business Solutions Data Engineer Interview Process

based on 3 interviews

Interview experience

4.7
  
Excellent
View more
Koch Business Solutions Data Engineer Salary
based on 68 salaries
₹9.4 L/yr - ₹36.1 L/yr
107% more than the average Data Engineer Salary in India
View more details

Koch Business Solutions Data Engineer Reviews and Ratings

based on 11 reviews

4.0/5

Rating in categories

4.1

Skill development

3.5

Work-life balance

4.2

Salary

4.2

Job security

3.4

Company culture

3.7

Promotions

3.3

Work satisfaction

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