Upload Button Icon Add office photos
Premium Employer

i

This company page is being actively managed by Deloitte Team. If you also belong to the team, you can get access from here

Deloitte Verified Tick

Compare button icon Compare button icon Compare

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

zig zag pattern zig zag pattern

Filter interviews by

Deloitte Azure Data Engineer Interview Questions, Process, and Tips

Updated 27 Sep 2024

Top Deloitte Azure Data Engineer Interview Questions and Answers

  • Q1. Explain about copy activity in ADF Slowly changing dimensions Data warehousing
  • Q2. what are the difference b/w data lake gen1 and gen2
  • Q3. SQL query and difference between rank,dense rank and row number
View all 6 questions

Deloitte Azure Data Engineer Interview Experiences

6 interviews found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
No response

I applied via Referral and was interviewed in May 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is polybase?
  • Ans. 

    Polybase is a feature in Azure SQL Data Warehouse that allows users to query data stored in Hadoop or Azure Blob Storage.

    • Polybase enables users to access and query external data sources without moving the data into the database.

    • It provides a virtualization layer that allows SQL queries to seamlessly integrate with data stored in Hadoop or Azure Blob Storage.

    • Polybase can significantly improve query performance by levera...

  • Answered by AI
  • Q2. Explain your current project architecture.

Azure Data Engineer Interview Questions & Answers

user image SREYA KANDUKURU

posted on 27 Sep 2024

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

Coding round will consists of SQL and pyspark questions, it's a medium level

Azure Data Engineer Interview Questions Asked at Other Companies

asked in TCS
Q1. 7. How can we load multiple(50)tables at a time using adf?
asked in KPMG India
Q2. Difference between RDD, Dataframe and Dataset. How and what you h ... read more
asked in Techigai
Q3. What is incremental load and other types of loads? How do you imp ... read more
asked in TCS
Q4. 2. What is the get metadata activity and what are the parameters ... read more
asked in KPMG India
Q5. What are key components in ADF? What all you have used in your pi ... read more
Interview experience
3
Average
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Not Selected

I applied via Job Portal and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - One-on-one 

(1 Question)

  • Q1. What are the difference b/w data lake gen1 and gen2
  • Ans. 

    Data Lake Gen1 is based on Hadoop Distributed File System (HDFS) while Gen2 is built on Azure Blob Storage.

    • Data Lake Gen1 uses HDFS for storing data while Gen2 uses Azure Blob Storage.

    • Gen1 has a hierarchical file system while Gen2 has a flat file system.

    • Gen2 provides better performance, scalability, and security compared to Gen1.

    • Gen2 supports Azure Data Lake Storage features like tiering, lifecycle management, and acce...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - good & smooth interview experience

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
Not Selected

I was interviewed in Apr 2023.

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 

(3 Questions)

  • Q1. ADF scenario based questions.
  • Q2. PySpark coding question to calculate rolling sum
  • Q3. SQL query and difference between rank,dense rank and row number
  • Ans. 

    Rank, dense rank, and row number are SQL functions used to assign a unique sequential number to rows in a result set.

    • Rank function assigns a unique number to each row based on the ordering specified in the query.

    • Dense rank function also assigns a unique number to each row, but it does not leave gaps in the ranking sequence.

    • Row number function simply assigns a sequential number to each row in the result set, without any

  • Answered by AI
Round 3 - Technical 

(1 Question)

  • Q1. Complex SQL query

Skills evaluated in this interview

Deloitte interview questions for designations

 Azure DevOps Engineer

 (1)

 Azure Developer

 (1)

 Data Engineer

 (20)

 Gcp Data Engineer

 (4)

 Big Data Engineer

 (2)

 AWS Data Engineer

 (1)

 Snowflake Data Engineer

 (1)

 Senior Data Engineer

 (1)

I applied via Approached by Company and was interviewed in Jun 2022. There were 2 interview rounds.

Round 1 - Assignment 

It was a 1 hour technical assessment which includes azure questions

Round 2 - Technical 

(2 Questions)

  • Q1. Explain about copy activity in ADF Slowly changing dimensions Data warehousing
  • Ans. 

    Copy activity in ADF is used to move data from source to destination.

    • Copy activity supports various sources and destinations such as Azure Blob Storage, Azure SQL Database, etc.

    • It can be used for both one-time and scheduled data movement.

    • It supports mapping data between source and destination using mapping data flows.

    • Slowly changing dimensions can be handled using copy activity in ADF.

    • Copy activity is commonly used in

  • Answered by AI
  • Q2. Azure Databricks cluster types Pipeline triggers types

Interview Preparation Tips

Topics to prepare for Deloitte Azure Data Engineer interview:
  • Azure Data Factory
  • Databricks
Interview preparation tips for other job seekers - Prepare well and do your best you can crack it easily
I went to attend the interview with multiple offers and never interested to get selected but learnt much after that interview

Skills evaluated in this interview

Get interview-ready with Top Deloitte Interview Questions

Round 1 - Technical 

(2 Questions)

  • Q1. Difference between olap and oltp
  • Ans. 

    OLAP is for analytics and reporting while OLTP is for transaction processing.

    • OLAP stands for Online Analytical Processing

    • OLTP stands for Online Transaction Processing

    • OLAP is used for complex queries and data analysis

    • OLTP is used for real-time transaction processing

    • OLAP databases are read-intensive while OLTP databases are write-intensive

    • Examples of OLAP databases include data warehouses and data marts

    • Examples of OLTP d...

  • Answered by AI
  • Q2. Difference between dataframe and rdd
  • Ans. 

    Dataframe is a distributed collection of data organized into named columns while RDD is a distributed collection of data organized into partitions.

    • Dataframe is immutable while RDD is mutable

    • Dataframe has a schema while RDD does not

    • Dataframe is optimized for structured and semi-structured data while RDD is optimized for unstructured data

    • Dataframe has better performance than RDD due to its optimized execution engine

    • Dataf

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview process was ok.. I don't whats

Skills evaluated in this interview

Azure Data Engineer Jobs at Deloitte

View all

Interview questions from similar companies

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

(2 Questions)

  • Q1. What steps are involved in fetching data from an on-premises Unix server?
  • Q2. Types of triggers in azure data factory
Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
No response

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Python code for prime numbers
  • Q2. Data bricks pyspark code for first 10 employees with salary
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. What is Medallion Architecture
  • Ans. 

    Medallion Architecture is a data processing architecture that involves breaking down data into smaller pieces for easier processing.

    • Medallion Architecture involves breaking down data into smaller pieces for easier processing

    • It allows for parallel processing of data to improve performance

    • Commonly used in big data processing systems like Hadoop and Spark

  • Answered by AI
  • Q2. What is Spark Architecture
  • Ans. 

    Spark Architecture is a distributed computing framework that provides an efficient way to process large datasets.

    • Spark Architecture consists of a driver program, cluster manager, and worker nodes.

    • It uses Resilient Distributed Datasets (RDDs) for fault-tolerant distributed data processing.

    • Spark supports various programming languages like Scala, Java, Python, and SQL.

    • It includes components like Spark Core, Spark SQL, Spa...

  • Answered by AI
  • Q3. Find the second highest salary in employee table
  • Ans. 

    Use SQL query to find the second highest salary in employee table

    • Use SQL query with ORDER BY and LIMIT to get the second highest salary

    • Example: SELECT DISTINCT salary FROM employee ORDER BY salary DESC LIMIT 1, 1

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. How do you perform Partitioning
  • Ans. 

    Partitioning in Azure Data Engineer involves dividing data into smaller chunks for better performance and manageability.

    • Partitioning can be done based on a specific column or key in the dataset

    • It helps in distributing data across multiple nodes for parallel processing

    • Partitioning can improve query performance by reducing the amount of data that needs to be scanned

    • In Azure Synapse Analytics, you can use ROUND_ROBIN or H

  • Answered by AI
  • Q2. What are your current responsibilities as Azure Data Engineer
  • Ans. 

    As an Azure Data Engineer, my current responsibilities include designing and implementing data solutions on Azure, optimizing data storage and processing, and ensuring data security and compliance.

    • Designing and implementing data solutions on Azure

    • Optimizing data storage and processing for performance and cost efficiency

    • Ensuring data security and compliance with regulations

    • Collaborating with data scientists and analysts

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Technical 

(3 Questions)

  • Q1. Previous project
  • Q2. What is partion key?
  • Ans. 

    Partition key is a field used to distribute data across multiple partitions in a database for scalability and performance.

    • Partition key determines the partition in which a row will be stored in a database.

    • It helps in distributing data evenly across multiple partitions to improve query performance.

    • Choosing the right partition key is crucial for efficient data storage and retrieval.

    • For example, in Azure Cosmos DB, partit...

  • Answered by AI
  • Q3. Explai data bricks,how its different from adf
  • Ans. 

    Data bricks is a unified analytics platform for big data and machine learning, while ADF (Azure Data Factory) is a cloud-based data integration service.

    • Data bricks is a unified analytics platform that provides a collaborative environment for big data and machine learning projects.

    • ADF is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines.

    • Data bricks supports multiple pr...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for PwC Azure Data Engineer interview:
  • Adf
  • data bricks
  • SQL
  • pyspark
  • basic quereis on sql,pyspark

Skills evaluated in this interview

Deloitte Interview FAQs

How many rounds are there in Deloitte Azure Data Engineer interview?
Deloitte interview process usually has 1-2 rounds. The most common rounds in the Deloitte interview process are Technical, Assignment and Resume Shortlist.
How to prepare for Deloitte Azure 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 Deloitte. The most common topics and skills that interviewers at Deloitte expect are SQL, Python, Spark, Agile Coaching and Azure.
What are the top questions asked in Deloitte Azure Data Engineer interview?

Some of the top questions asked at the Deloitte Azure Data Engineer interview -

  1. Explain about copy activity in ADF Slowly changing dimensions Data warehous...read more
  2. what are the difference b/w data lake gen1 and g...read more
  3. SQL query and difference between rank,dense rank and row num...read more

Tell us how to improve this page.

Deloitte Azure Data Engineer Interview Process

based on 4 interviews

Interview experience

4.3
  
Good
View more

Interview Questions from Similar Companies

TCS Interview Questions
3.7
 • 10.4k Interviews
Accenture Interview Questions
3.8
 • 8.2k Interviews
Capgemini Interview Questions
3.7
 • 4.8k Interviews
IBM Interview Questions
4.0
 • 2.4k Interviews
PwC Interview Questions
3.4
 • 1.4k Interviews
Ernst & Young Interview Questions
3.4
 • 1.1k Interviews
KPMG India Interview Questions
3.5
 • 802 Interviews
ZS Interview Questions
3.4
 • 482 Interviews
BCG Interview Questions
3.8
 • 196 Interviews
View all
Deloitte Azure Data Engineer Salary
based on 122 salaries
₹5.5 L/yr - ₹21 L/yr
48% more than the average Azure Data Engineer Salary in India
View more details

Deloitte Azure Data Engineer Reviews and Ratings

based on 4 reviews

3.6/5

Rating in categories

4.0

Skill development

3.6

Work-life balance

3.6

Salary

4.3

Job security

3.6

Company culture

3.6

Promotions

3.6

Work satisfaction

Explore 4 Reviews and Ratings
Consultant
33.3k salaries
unlock blur

₹6.3 L/yr - ₹23.1 L/yr

Senior Consultant
20.9k salaries
unlock blur

₹11 L/yr - ₹42 L/yr

Analyst
14.2k salaries
unlock blur

₹3.8 L/yr - ₹12.6 L/yr

Assistant Manager
10k salaries
unlock blur

₹7.8 L/yr - ₹24 L/yr

Manager
7.1k salaries
unlock blur

₹15.8 L/yr - ₹52 L/yr

Explore more salaries
Compare Deloitte with

Accenture

3.8
Compare

PwC

3.4
Compare

Ernst & Young

3.4
Compare

Cognizant

3.8
Compare
Did you find this page helpful?
Yes No
write
Share an Interview