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Maveric Systems Data Engineer Interview Questions and Answers

Updated 8 Aug 2024

Maveric Systems Data Engineer Interview Experiences

4 interviews found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected
Round 1 - Coding Test 

Code related to pyspark Groupby, Partistion When clause. But not be the case with others since interviewer get changed.

Round 2 - HR 

(1 Question)

  • Q1. Though on salary negotiation. They will not increase any single penny.

Interview Preparation Tips

Interview preparation tips for other job seekers - If you don't need personal growth(new technology) and just work around very inflexible infrastructure then this company is very ideal for you.

Data Engineer Interview Questions & Answers

user image keerthu kumaravel

posted on 8 Aug 2024

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

(2 Questions)

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

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Data Engineer Interview Questions & Answers

user image Anonymous

posted on 20 May 2024

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

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 30 Aug 2022

I applied via Approached by Company and was interviewed in Jul 2022. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Basics of sql,spark,scala,azure,snowflake

Interview Preparation Tips

Interview preparation tips for other job seekers - Asked basics of spark,scala,hive,snowflake,azure

Maveric Systems interview questions for designations

 Data Engineer 1

 (1)

 Test Engineer

 (18)

 Software Engineer

 (12)

 Softwaretest Engineer

 (2)

 QA Engineer

 (2)

 System Engineer

 (1)

 Verification Engineer

 (1)

 Senior Test Engineer

 (8)

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 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

Maveric Systems Interview FAQs

How many rounds are there in Maveric Systems Data Engineer interview?
Maveric Systems interview process usually has 1-2 rounds. The most common rounds in the Maveric Systems interview process are Coding Test, Technical and Resume Shortlist.
How to prepare for Maveric Systems 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 Maveric Systems. The most common topics and skills that interviewers at Maveric Systems expect are SQL, Spark, Azure Data Factory, Azure Data Lake and Azure Databricks.
What are the top questions asked in Maveric Systems Data Engineer interview?

Some of the top questions asked at the Maveric Systems Data Engineer interview -

  1. Which neural Network architectures are availa...read more
  2. In round with a VP who was checking for candidates' vision and drive along with...read more
  3. Though on salary negotiation. They will not increase any single pen...read more

Tell us how to improve this page.

Maveric Systems Data Engineer Interview Process

based on 3 interviews

Interview experience

4
  
Good
View more
Maveric Systems Data Engineer Salary
based on 21 salaries
₹4.2 L/yr - ₹10.5 L/yr
33% less than the average Data Engineer Salary in India
View more details

Maveric Systems Data Engineer Reviews and Ratings

based on 6 reviews

2.0/5

Rating in categories

2.3

Skill development

2.3

Work-life balance

2.3

Salary

2.6

Job security

2.3

Company culture

2.0

Promotions

2.3

Work satisfaction

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