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Lowe's Senior Data Engineer Interview Questions and Answers

Updated 5 Jan 2025

Lowe's Senior Data Engineer Interview Experiences

3 interviews found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Referral and was interviewed before May 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Discussion about project worked on
Round 2 - Technical 

(1 Question)

  • Q1. Sql question asked
Round 3 - Technical 

(1 Question)

  • Q1. Spark architecture

Interview Preparation Tips

Topics to prepare for Lowe's Senior Data Engineer interview:
  • Spark
  • Hadoop
  • Hive
  • Shell Scripting
  • oozie
  • airflow
  • Python
  • GCP
Interview preparation tips for other job seekers - Prepare from basics to intermediate level
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Referral and was interviewed in Sep 2023. There were 2 interview rounds.

Round 1 - Technical 

(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 ...

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. Intro of Databricks concepts
  • Q2. Previous projects questions and difficulties

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well in Internals of Hadoop, Spark, SQL, Python, Data Structures and Algorithms.

Skills evaluated in this interview

Senior Data Engineer Interview Questions Asked at Other Companies

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Q2. There are 10 million records in the table and the schema does not ... read more
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Q3. How do you handle data pipeline when the schema information keeps ... read more
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Q4. Difference between Parquet and ORC file. Why industry uses parque ... read more
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Q5. What is Normalisation and Denormalisation? When do we use them? G ... read more
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Jan 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. About Hive partitioning, Pyspark

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Technical 

(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...

  • Answered by AI
Round 2 - Technical 

(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.

  • Answered by AI
  • 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...

  • Answered by AI

Skills evaluated in this interview

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

Round 1 - One-on-one 

(1 Question)

  • Q1. Question on sql mostly

Interview Preparation Tips

Interview preparation tips for other job seekers - 1st manager round
2nd technical SQL, spark, python and big data system design
3rd director round
4th HR round
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
-

I applied via Job Portal

Round 1 - Technical 

(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

Topics to prepare for Target Data Analyst interview:
  • SQL
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
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed in Mar 2024. There was 1 interview round.

Round 1 - Technical 

(5 Questions)

  • Q1. How many experience in working?
  • Q2. What is your qualification?
  • Q3. Where did you work earlier?
  • Q4. Why did you leave work in the first place?
  • Q5. Why do you need a job?

Interview Preparation Tips

Topics to prepare for Reliance Retail Data Entry Operator interview:
  • Computer Skills
  • Data Entry
  • Organization Skills
  • English Typing
  • Customer Relationship
  • Customer Service Operations
Interview preparation tips for other job seekers - Update your resume. ...
Tailor your resume and cover letter. ...
Be prepared for anything. ...
Act kindly to everyone. ...
Apply to jobs you are under-qualified for. ...
Send follow-up emails. ...
Keep track of the jobs you apply to. ...
Learn job keywords.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Job Portal and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - Coding Test 

Code question on tree dp and metrics dp

I applied via Recruitment Consulltant and was interviewed before Apr 2021. There were 3 interview rounds.

Round 1 - Coding Test 

Problem solving skills!

Round 2 - Technical 

(1 Question)

  • Q1. Based on ur current work and hands on problem solving skills
Round 3 - Behavioral 

(1 Question)

  • Q1. Technical round and involved questions from previous work experience

Interview Preparation Tips

Interview preparation tips for other job seekers - All the best. Prepare well and you should be good to go.

Lowe's Interview FAQs

How many rounds are there in Lowe's Senior Data Engineer interview?
Lowe's interview process usually has 2 rounds. The most common rounds in the Lowe's interview process are Technical.
How to prepare for Lowe's Senior 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 Lowe's. The most common topics and skills that interviewers at Lowe's expect are Python, Hadoop, SQL, Hive and Spark.
What are the top questions asked in Lowe's Senior Data Engineer interview?

Some of the top questions asked at the Lowe's Senior Data Engineer interview -

  1. Internals of Hadoop Sys...read more
  2. spark architect...read more
  3. sql question as...read more

Tell us how to improve this page.

Lowe's Senior Data Engineer Interview Process

based on 3 interviews in last 1 year

1 Interview rounds

  • Technical Round
View more

People are getting interviews through

based on 3 Lowe's interviews
Referral
Job Portal
67%
33%
Moderate Confidence
?
Moderate Confidence means the data is based on a sufficient number of responses received from the candidates

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Lowe's Senior Data Engineer Salary
based on 85 salaries
₹15.3 L/yr - ₹32 L/yr
41% more than the average Senior Data Engineer Salary in India
View more details

Lowe's Senior Data Engineer Reviews and Ratings

based on 7 reviews

4.8/5

Rating in categories

4.0

Skill development

4.4

Work-Life balance

4.2

Salary & Benefits

4.6

Job Security

4.6

Company culture

4.0

Promotions/Appraisal

4.2

Work Satisfaction

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