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NIKE Senior Data Engineer Interview Questions and Answers
NIKE Senior Data Engineer Interview Experiences
2 interviews found
Anonymous
I applied via Recruitment Consulltant and was interviewed before Apr 2021. There were 3 interview rounds.
Problem solving skills!
(1 Question)
- Q1. Based on ur current work and hands on problem solving skills
(1 Question)
- Q1. Technical round and involved questions from previous work experience
Interview Preparation Tips
I applied via Approached by Company and was interviewed in Jun 2022. There was 1 interview round.
(1 Question)
- Q1. Question on sql mostly
Interview Preparation Tips
2nd technical SQL, spark, python and big data system design
3rd director round
4th HR round
Top trending discussions
Interview questions from similar companies
I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.
(2 Questions)
- Q1. SQL self join related question
- Q2. Working of spark in detail
- Ans.
Spark is a distributed computing framework that processes big data in memory and is known for its speed and ease of use.
Spark is an open-source, distributed computing system that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
It can run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk.
Spark provides high-level APIs in Java, Scala...
(2 Questions)
- Q1. DAG implementation in detail
- Ans.
DAG implementation involves defining tasks and their dependencies in a directed acyclic graph.
DAG is a graph where nodes represent tasks and edges represent dependencies between tasks.
Tasks can only be executed once all their dependencies have been completed.
Common tools for DAG implementation include Apache Airflow and Luigi.
Example: Task A must be completed before Task B can start, forming a dependency between them.
- Q2. Explain salting in detail
- Ans.
Salting is a technique used in cryptography to add random data to passwords before hashing to prevent rainbow table attacks.
Salting involves adding a random string of characters to a password before hashing it
The salt value is unique for each password and is stored alongside the hashed password
Salting prevents attackers from easily cracking passwords using precomputed rainbow tables
Example: If a password is 'password12...
Skills evaluated in this interview
I applied via Referral and was interviewed in Sep 2023. There were 2 interview rounds.
(2 Questions)
- Q1. Spark SQL Hadoop Python
- Q2. Internals of Hadoop System
- Ans.
Hadoop is an open-source distributed processing framework that manages data processing and storage for big data applications.
Hadoop consists of HDFS (Hadoop Distributed File System) for storage and MapReduce for processing.
Hadoop uses a master-slave architecture with a single NameNode and multiple DataNodes.
Data is stored in blocks across multiple DataNodes for fault tolerance and scalability.
Hadoop ecosystem includes ...
(2 Questions)
- Q1. Intro of Databricks concepts
- Q2. Previous projects questions and difficulties
Interview Preparation Tips
Skills evaluated in this interview
I applied via Job Portal
(1 Question)
- Q1. Round 1: This is an initial screening round. You will be tested on the foundation of multiple technologies. SQL (Majority), Python, Visualization skillset and some basic statistics. Round 2 : Advance t...
Interview Preparation Tips
- SQL
I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.
(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
- 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...
- 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.
- Q5. Get second highest salary usingSQL
Skills evaluated in this interview
I applied via Job Portal and was interviewed in Sep 2024. There was 1 interview round.
Code question on tree dp and metrics dp
Selected
I applied via LinkedIn and was interviewed before Jan 2024. There was 1 interview round.
(1 Question)
- Q1. About Hive partitioning, Pyspark
I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.
(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
- Q5. In depth spark optimization question
Interview Preparation Tips
Skills evaluated in this interview
Kunal Trivedi
I applied via Referral and was interviewed in May 2022. There were 3 interview rounds.
Data structures and algorithms
(1 Question)
- Q1. Low level design and system design
(1 Question)
- Q1. About project and deal with particular problem
Interview Preparation Tips
- Core basics
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