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NielsenIQ Data Engineer Interview Questions and Answers

Updated 21 May 2024

NielsenIQ Data Engineer Interview Experiences

1 interview found

Data Engineer Interview Questions & Answers

user image Anonymous

posted on 21 May 2024

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 questions from similar companies

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Not Selected

I was interviewed in Dec 2024.

Round 1 - Technical 

(2 Questions)

  • Q1. They asked me regarding project
  • Q2. Sql queries and data bricks related questions
Round 2 - Technical 

(1 Question)

  • Q1. Details explaination on project that I have worked and optimization techniques

Interview Preparation Tips

Interview preparation tips for other job seekers - I have successfully cleared the L1 and L2 rounds, and my background verification has also been completed. I was informed that an offer would be sent the next day. However, the HR then stated that there would be a discussion solely about the CTC, with no technical questions involved. I agreed to this; yet, the interviewer proceeded to ask high-level technical questions that I had not worked on, leading to the final decision of not selecting me. It felt like a fake interview process, accompanied by delayed communication and a lack of response, resulting in a very negative experience with Tech Mahindra.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.

Round 1 - Technical 

(5 Questions)

  • Q1. Scenario based questions on Azure data factory and pipelines
  • Q2. Optimisation technic to improve the performance of databricks
  • Q3. What is Autoloader
  • Q4. What is unity catalog
  • Q5. How you do the alerting mechanism in adf for failed pipelines

Data Engineer Interview Questions & Answers

Genpact user image Sashikanta Parida

posted on 17 Dec 2024

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. What are different type of joins available in Databricks?
  • Ans. 

    Different types of joins available in Databricks include inner join, outer join, left join, right join, and cross join.

    • Inner join: Returns only the rows that have matching values in both tables.

    • Outer join: Returns all rows when there is a match in either table.

    • Left join: Returns all rows from the left table and the matched rows from the right table.

    • Right join: Returns all rows from the right table and the matched rows ...

  • Answered by AI
  • Q2. How do you make your data pipeline fault tolerant?
  • Ans. 

    Implementing fault tolerance in a data pipeline involves redundancy, monitoring, and error handling.

    • Use redundant components to ensure continuous data flow

    • Implement monitoring tools to detect failures and bottlenecks

    • Set up automated alerts for immediate response to issues

    • Design error handling mechanisms to gracefully handle failures

    • Use checkpoints and retries to ensure data integrity

  • Answered by AI
  • Q3. What is AutoLoader?
  • Ans. 

    AutoLoader is a feature in data engineering that automatically loads data from various sources into a data warehouse or database.

    • Automates the process of loading data from different sources

    • Reduces manual effort and human error

    • Can be scheduled to run at specific intervals

    • Examples: Apache Nifi, AWS Glue

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. How do you connect to different services in Azure?
  • Ans. 

    To connect to different services in Azure, you can use Azure SDKs, REST APIs, Azure Portal, Azure CLI, and Azure PowerShell.

    • Use Azure SDKs for programming languages like Python, Java, C#, etc.

    • Utilize REST APIs to interact with Azure services programmatically.

    • Access and manage services through the Azure Portal.

    • Leverage Azure CLI for command-line interface interactions.

    • Automate tasks using Azure PowerShell scripts.

  • Answered by AI
  • Q2. What are linked Services?
  • Ans. 

    Linked Services are connections to external data sources or destinations in Azure Data Factory.

    • Linked Services define the connection information needed to connect to external data sources or destinations.

    • They can be used in Data Factory pipelines to read from or write to external systems.

    • Examples of Linked Services include Azure Blob Storage, Azure SQL Database, and Amazon S3.

  • Answered by AI

Data Engineer Interview Questions & Answers

Wipro user image Lakshmi Narayana

posted on 27 Nov 2024

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

(2 Questions)

  • Q1. Explain adf questions in detail
  • Ans. 

    ADF questions refer to Azure Data Factory questions which are related to data integration and data transformation processes.

    • ADF questions are related to Azure Data Factory, a cloud-based data integration service.

    • These questions may involve data pipelines, data flows, activities, triggers, and data movement.

    • Candidates may be asked about their experience with designing, monitoring, and managing data pipelines in ADF.

    • Exam...

  • Answered by AI
  • Q2. Project related questions
Round 2 - Technical 

(2 Questions)

  • Q1. Project data related questions
  • Q2. Databricks and SQL interview questions
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. What are the optimization techniques used in Apache Spark?
  • Q2. 2 SQL queries , 1 PySpark code and 1 Python Code .
  • Q3. 2-3 Scenario Based questions from ADF and databricks .
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
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
-
Result
Not Selected

I applied via Walk-in

Round 1 - Technical 

(2 Questions)

  • Q1. Difference between rank and dense_rank, Left vs Left anti join
  • Ans. 

    Rank assigns unique ranks to rows, while dense_rank handles ties by assigning the same rank to tied rows. Left join includes all rows from the left table and matching rows from the right table, while left anti join includes only rows from the left table that do not have a match in the right table.

    • Rank assigns unique ranks to rows based on the specified order, while dense_rank handles ties by assigning the same rank to ...

  • Answered by AI
  • Q2. Python list comprehension, SQL query
Round 2 - Behavioral 

(1 Question)

  • Q1. Project related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - No response from HR, even after clearing technical and managerial rounds

Skills evaluated in this interview

Data Engineer Interview Questions & Answers

Cognizant user image Abhishek Paithankar

posted on 16 Nov 2024

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

Aptitude test involved with quantative aptitude, logical reasoning and reading comprehensions.

Round 2 - Technical 

(2 Questions)

  • Q1. Tell me your introduction.
  • Q2. Tell me about your skills.
  • Ans. 

    I have strong skills in data processing, ETL, data modeling, and programming languages like Python and SQL.

    • Proficient in data processing and ETL techniques

    • Strong knowledge of data modeling and database design

    • Experience with programming languages like Python and SQL

    • Familiarity with big data technologies such as Hadoop and Spark

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. Are you ready relocate,?
  • Ans. 

    Yes, I am open to relocating for the right opportunity.

    • I am willing to relocate for the right job opportunity.

    • I have experience moving for previous roles.

    • I am flexible and adaptable to new locations.

    • I am excited about the possibility of exploring a new city or country.

  • Answered by AI
  • Q2. Document verification

Interview Preparation Tips

Interview preparation tips for other job seekers - If you are fresher first prepare for aptitude, because once aptitude get cleared you will get selected from the large compitition and then focus on your technical knowledge and managerial skills about the company.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. About python, sql, pyspark
  • Q2. Spark Architecture.
Round 2 - HR 

(2 Questions)

  • Q1. When can you join.
  • Ans. 

    I can join within two weeks of receiving an offer.

    • I can start within two weeks of receiving an offer.

    • I need to give notice at my current job before starting.

    • I have some personal commitments that I need to wrap up before joining.

  • Answered by AI
  • Q2. .
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NielsenIQ Interview FAQs

How many rounds are there in NielsenIQ Data Engineer interview?
NielsenIQ interview process usually has 1 rounds. The most common rounds in the NielsenIQ interview process are Technical.
How to prepare for NielsenIQ 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 NielsenIQ. The most common topics and skills that interviewers at NielsenIQ expect are Agile, Python, SQL, genetics and Recruitment.
What are the top questions asked in NielsenIQ Data Engineer interview?

Some of the top questions asked at the NielsenIQ Data Engineer interview -

  1. Windows functions in ...read more
  2. Delta lake from Databri...read more

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NielsenIQ Data Engineer Salary
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₹10.8 L/yr - ₹28.3 L/yr
58% more than the average Data Engineer Salary in India
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