Lowe's Senior Data Engineer Interview Questions and Answers

Q1. Question on sql mostly
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Q1. Difference between where and having
Ans. 
WHERE is used to filter rows before grouping, HAVING is used to filter groups after grouping.
• WHERE is used with SELECT statement to filter rows based on a condition

• HAVING is used with GROUP BY statement to filter groups based on a condition

• WHERE is applied before grouping, HAVING is applied after grouping

• Example: SELECT * FROM table WHERE column = 'value'

• Example: SELECT column, COUNT(*) FROM table GROUP BY column HAVIN
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Q2. View and materialised view
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Retail data case study

Case study discussion

Q1. Retail situational based questions
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Q2. Metrics used in retail business
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Metrics used in retail business include sales, customer acquisition cost, customer lifetime value, inventory turnover, and gross margin.
• Sales: Total revenue generated from products or services sold

• Customer acquisition cost: Cost incurred to acquire a new customer

• Customer lifetime value: Predicted revenue a customer will generate over their lifetime

• Inventory turnover: Number of times inventory is sold and replaced in a ...read more
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Q1. Basic technical knowledge
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Q2. Situational and managerial round questions
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Q1. Basic salary negotiation
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Q2. Situational base question
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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...read more
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Q1. Wxaplinnyour project
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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
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Q3. Dimension and fact tabel difference
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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...read more
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Q4. Write slq query to get employee having 2manager
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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.
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Q5. Get second highest salary usingSQL
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Q1. How many experience in working?
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Q2. What is your qualification?
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Q3. Where did you work earlier?
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Q4. Why did you leave work in the first place?
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Q5. Why do you need a job?
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Code question on tree dp and metrics dp