Upload Button Icon Add office photos

Filter interviews by

o9 Solutions Data Engineer Interview Questions and Answers

Updated 24 Oct 2024

o9 Solutions Data Engineer Interview Experiences

1 interview found

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 24 Oct 2024

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

Simple Python and SQL questions coding questions. 50 MCQs

Round 2 - Technical 

(3 Questions)

  • Q1. Spark Architecture and all basics of Spark
  • Q2. Find the the values in a list that have duplicates
  • Ans. 

    Use a hashmap to track duplicates in a list of values

    • Iterate through the list and store each value in a hashmap with its count

    • Identify values with count greater than 1 as duplicates

    • Return the list of values that have duplicates

  • Answered by AI
  • Q3. PySpark Questions on Aggregations

Skills evaluated in this interview

Data Engineer Jobs at o9 Solutions

View all

Interview questions from similar companies

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

(5 Questions)

  • Q1. Data warehousing related questions
  • Q2. SQL scenario based questions
  • Q3. Project experience
  • Ans. 

    I have experience working on projects involving data pipeline development, ETL processes, and data warehousing.

    • Developed ETL processes to extract, transform, and load data from various sources into a data warehouse

    • Built data pipelines to automate the flow of data between systems and ensure data quality and consistency

    • Optimized database performance and implemented data modeling best practices

    • Worked on real-time data pro...

  • Answered by AI
  • Q4. Python Based questions
  • Q5. AWS features and questions
Round 2 - Technical 

(2 Questions)

  • Q1. Similar to first round but in depth questions relatively
  • Q2. Asked about career goals and stuff
Round 3 - HR 

(2 Questions)

  • Q1. General work related conversation
  • Q2. Salary discussion
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 - Technical 

(2 Questions)

  • Q1. BQ store procedure
  • Ans. 

    A stored procedure is a set of SQL statements that can be saved and reused in a database.

    • Stored procedures can improve performance by reducing network traffic and improving security.

    • They can be used to encapsulate business logic and complex queries.

    • Stored procedures can accept input parameters and return output parameters or result sets.

  • Answered by AI
  • Q2. GCP archiotecture
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Technical 

(3 Questions)

  • Q1. How to create DBT project
  • Ans. 

    To create a DBT project, you need to set up a project directory, create models, define sources, and run tests.

    • Set up a project directory with a dbt_project.yml file

    • Create models in the models directory using SQL files

    • Define sources in the sources.yml file

    • Run tests using dbt test command

  • Answered by AI
  • Q2. Explain materializations in dbt
  • Ans. 

    Materializations in dbt are pre-computed tables that store the results of dbt models for faster query performance.

    • Materializations are created using the 'materialized' parameter in dbt models.

    • Common types of materializations include 'view', 'table', and 'incremental'.

    • Materializations help improve query performance by reducing the need to recompute data on every query.

    • Materializations can be refreshed manually or automa

  • Answered by AI
  • Q3. What are dbt snapshots?
  • Ans. 

    dbt snapshots are a way to capture the state of your data model at a specific point in time.

    • dbt snapshots are used to create point-in-time snapshots of your data model

    • They allow you to track changes in your data over time

    • Snapshots can be used for auditing, debugging, or creating historical reports

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Practice a lot of complex SQL questions
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Basic questions on azure databricks
  • Q2. Question on spark

Interview Questionnaire 

1 Question

  • Q1. What is dataframe?
  • Ans. 

    A dataframe is a two-dimensional table-like data structure with columns of different data types.

    • Dataframe is a popular data structure in data science and machine learning.

    • It is used to store and manipulate large datasets.

    • It can be created from various data sources like CSV, Excel, SQL databases, etc.

    • Dataframe operations include filtering, sorting, grouping, joining, and aggregating data.

    • Examples of popular dataframe li

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Apr 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. SQL questions mostly
Round 3 - Technical 

(1 Question)

  • Q1. Azure data factory scenario based questions
Round 4 - Technical 

(1 Question)

  • Q1. Tough sql and Azure scenario based questions
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Basic coding questions on an online platform

Round 2 - Case Study 

Case study about a use case and building ELT pipelines

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared with Big data tech stack like pyspark and hadoop. SQL is also mandatory.
Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Basic Python List and Array questions
Decorators
Global Interpreter Lock

Round 2 - One-on-one 

(3 Questions)

  • Q1. In round with a VP who was checking for candidates' vision and drive along with past work experience
  • Q2. Questions about AI and ML, Activation Fucntions
  • Q3. Which neural Network architectures are available
  • Ans. 

    Some common neural network architectures include feedforward, convolutional, recurrent, and generative adversarial networks.

    • Feedforward Neural Networks (FNN): Simplest form of neural network where information flows in one direction only.

    • Convolutional Neural Networks (CNN): Designed for image recognition tasks, using convolutional layers to extract features.

    • Recurrent Neural Networks (RNN): Suitable for sequential data, ...

  • Answered by AI

Skills evaluated in this interview

o9 Solutions Interview FAQs

How many rounds are there in o9 Solutions Data Engineer interview?
o9 Solutions interview process usually has 2 rounds. The most common rounds in the o9 Solutions interview process are Coding Test and Technical.
How to prepare for o9 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 o9 Solutions. The most common topics and skills that interviewers at o9 Solutions expect are Azure Databricks, Big Data, Data Engineering, Data Lake and Data Pipeline.
What are the top questions asked in o9 Solutions Data Engineer interview?

Some of the top questions asked at the o9 Solutions Data Engineer interview -

  1. Find the the values in a list that have duplica...read more
  2. Spark Architecture and all basics of Sp...read more
  3. PySpark Questions on Aggregati...read more

Tell us how to improve this page.

o9 Solutions Data Engineer Interview Process

based on 1 interview

Interview experience

4
  
Good
View more
o9 Solutions Data Engineer Salary
based on 10 salaries
₹8 L/yr - ₹12.5 L/yr
At par with the average Data Engineer Salary in India
View more details
Senior Consultant
201 salaries
unlock blur

₹10 L/yr - ₹22 L/yr

Consultant
167 salaries
unlock blur

₹7.7 L/yr - ₹13 L/yr

Technical Consultant
101 salaries
unlock blur

₹7.5 L/yr - ₹13 L/yr

Solution Architect
76 salaries
unlock blur

₹21 L/yr - ₹40 L/yr

Senior Technical Consultant
75 salaries
unlock blur

₹11 L/yr - ₹19.5 L/yr

Explore more salaries
Compare o9 Solutions with

Blue Yonder

3.9
Compare

Manhattan Associates

3.7
Compare

Kinaxis

4.0
Compare

Anaplan

1.8
Compare
Did you find this page helpful?
Yes No
write
Share an Interview