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NIKE Data Engineer Interview Questions and Answers

Updated 16 Feb 2024

NIKE Data Engineer Interview Experiences

1 interview found

Data Engineer Interview Questions & Answers

user image Aditya Kumar

posted on 16 Feb 2024

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

I applied via Naukri.com and was interviewed in Aug 2023. There was 1 interview round.

Round 1 - One-on-one 

(1 Question)

  • Q1. About partitions and bucketing Spark optimization Question from hadoop All questions were scenario based

Interview questions from similar companies

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

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

Round 1 - One-on-one 

(5 Questions)

  • Q1. It was hiring drive face to face interview
  • Q2. Project related indepth discussions
  • Q3. Medium level SQL and DSA
  • Q4. Sorting colors DSA problem
  • Ans. 

    Sort an array of colors in a specific order

    • Use a custom sorting function to sort the colors based on a predefined order

    • Map each color to a numerical value and sort based on that value

    • Consider using a hashmap to store the order of colors

  • Answered by AI
  • Q5. In depth spark optimization question

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare SQL, Python and Spark

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
-
Result
Not Selected

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

Round 1 - Technical 

(5 Questions)

  • Q1. Wxaplinnyour project
  • Q2. How would you build a pipeline to connect http source and bring data in adls
  • Ans. 

    Build a pipeline to connect http source and bring data in adls

    • Set up a data ingestion tool like Apache NiFi or Azure Data Factory to pull data from the http source

    • Transform the data as needed using tools like Apache Spark or Azure Databricks

    • Store the data in Azure Data Lake Storage (ADLS) for further processing and analysis

  • Answered by AI
  • Q3. Dimension and fact tabel difference
  • Ans. 

    Dimension tables store descriptive attributes while fact tables store quantitative data.

    • Dimension tables contain attributes that describe the business entities, such as customer, product, or time.

    • Fact tables contain quantitative data or metrics that are typically numeric and additive, such as sales revenue or quantity sold.

    • Dimension tables are denormalized and have a one-to-many relationship with fact tables.

    • Fact table...

  • Answered by AI
  • Q4. Write slq query to get employee having 2manager
  • Ans. 

    Use a self join to find employees with 2 managers in SQL query.

    • Use a self join on the employee table to join the table with itself.

    • Count the number of distinct managers for each employee.

    • Filter the results to only include employees with 2 managers.

  • Answered by AI
  • Q5. Get second highest salary usingSQL

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Hard
Process Duration
2-4 weeks
Result
Selected Selected

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

Round 1 - Technical 

(2 Questions)

  • Q1. Data Structures
  • Q2. Algorithms concepts
Round 2 - One-on-one 

(2 Questions)

  • Q1. Data Engineering Concepts
  • Q2. Spark and pyspark
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. About pyspark questions
  • Q2. About etl tools
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Sep 2023. There were 2 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 

(2 Questions)

  • Q1. Python coding, SQL theoretical
  • Q2. SPARK working question

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn SQL and python syntax. Most question were very syntactical
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Sql questions and python logics

Round 2 - Technical 

(2 Questions)

  • Q1. About sql and python
  • Q2. Hadoop and kinit
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Coding Test 

Basic details of Pyspark optimization question

Round 3 - Technical 

(1 Question)

  • Q1. Job optimization is pyspark

Interview Preparation Tips

Interview preparation tips for other job seekers - Read basics
Interview experience
1
Bad
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(1 Question)

  • Q1. Clueless and very rude interviewer. The troglodyte asked only from my past experience and everything not included either in the job description or my resume.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Based on python and sql

Round 2 - Technical 

(2 Questions)

  • Q1. Related to spark
  • Q2. Dimensional Modelling

NIKE Interview FAQs

How many rounds are there in NIKE Data Engineer interview?
NIKE interview process usually has 1 rounds. The most common rounds in the NIKE interview process are One-on-one Round.
How to prepare for NIKE 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 NIKE. The most common topics and skills that interviewers at NIKE expect are Python, Data Structures, SQL, Data Quality and Scheduling.

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