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Wipro Lead Data Engineer Interview Questions and Answers

Updated 6 Dec 2024

7 Interview questions

A Lead Data Engineer was asked 7mo ago
Q. How would you build an ETL pipeline to read JSON files that are irregularly dropped into storage, transform the data, and match the schema?
Ans. 

Design an ETL pipeline to handle irregularly timed JSON file uploads for data transformation and schema matching.

  • Use a cloud storage service (e.g., AWS S3) to store incoming JSON files.

  • Implement a file watcher or event-driven architecture (e.g., AWS Lambda) to trigger processing when new files arrive.

  • Utilize a data processing framework (e.g., Apache Spark or Apache Beam) to read and transform the JSON data.

  • Define ...

A Lead Data Engineer was asked 7mo ago
Q. Write an SQL query using window functions to find the highest sale amount per day for each store.
Ans. 

Use SQL window functions to identify the highest sale amount for each store per day.

  • Use the ROW_NUMBER() function to rank sales within each day and store.

  • Partition the data by store and date to isolate daily sales.

  • Order the sales in descending order to get the highest sale at the top.

  • Example SQL query: SELECT store_id, sale_date, sale_amount, ROW_NUMBER() OVER (PARTITION BY store_id, sale_date ORDER BY sale_amount...

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A Lead Data Engineer was asked
Q. How does Kafka work with Spark Streaming?
Ans. 

Kafka is used as a message broker to ingest data into Spark Streaming for real-time processing.

  • Kafka acts as a buffer between data producers and Spark Streaming to handle high throughput of data

  • Spark Streaming can consume data from Kafka topics in micro-batches for real-time processing

  • Kafka provides fault-tolerance and scalability for streaming data processing in Spark

A Lead Data Engineer was asked
Q. Write an SQL query to find the users who made purchases in 3 consecutive months within a year.
Ans. 

SQL query to find users who purchased 3 consecutive months in a year

  • Use a self join on the table to compare purchase months for each user

  • Group by user and year, then filter for counts of 3 consecutive months

  • Example: SELECT user_id FROM purchases p1 JOIN purchases p2 ON p1.user_id = p2.user_id WHERE p1.month = p2.month - 1 AND p2.month = p1.month + 1 GROUP BY p1.user_id, YEAR(p1.purchase_date) HAVING COUNT(DISTINCT...

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A Lead Data Engineer was asked
Q. What methods do you use to optimize Spark jobs?
Ans. 

Optimizing Spark jobs involves tuning configurations, partitioning data, caching, and using efficient transformations.

  • Tune Spark configurations for memory, cores, and parallelism

  • Partition data to distribute workload evenly

  • Cache intermediate results to avoid recomputation

  • Use efficient transformations like map, filter, and reduce

  • Avoid shuffling data unnecessarily

A Lead Data Engineer was asked
Q. Write SQL to find the second highest salary of employees in each department.
Ans. 

SQL query to find the second highest salary of employees in each department

  • Use a subquery to rank the salaries within each department

  • Filter the results to only include the second highest salary for each department

  • Join the result with the employee table to get additional information if needed

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A Lead Data Engineer was asked
Q. Architecture of spark
Ans. 

Spark is a distributed computing framework that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.

  • Spark is built around the concept of Resilient Distributed Datasets (RDDs) which are immutable distributed collections of objects.

  • It supports various programming languages like Java, Scala, Python, and R.

  • Spark provides high-level APIs like Spark SQL for structured...

Are these interview questions helpful?

Wipro Lead Data Engineer Interview Experiences

2 interviews found

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
-

I applied via Approached by Company and was interviewed in Nov 2024.Β There was 1 interview round.

Round 1 - TechnicalΒ 

(3 Questions)

  • Q1. SQL Question on window functions to find the highest sale amount per day of the stores
  • Ans. 

    Use SQL window functions to identify the highest sale amount for each store per day.

    • Use the ROW_NUMBER() function to rank sales within each day and store.

    • Partition the data by store and date to isolate daily sales.

    • Order the sales in descending order to get the highest sale at the top.

    • Example SQL query: SELECT store_id, sale_date, sale_amount, ROW_NUMBER() OVER (PARTITION BY store_id, sale_date ORDER BY sale_amount DESC...

  • Answered by AI
  • Q2. Build an ETL Pipeline to read json files which are dropping at irregular times into storage. So how do you transform and match the schema etc.,
  • Ans. 

    Design an ETL pipeline to handle irregularly timed JSON file uploads for data transformation and schema matching.

    • Use a cloud storage service (e.g., AWS S3) to store incoming JSON files.

    • Implement a file watcher or event-driven architecture (e.g., AWS Lambda) to trigger processing when new files arrive.

    • Utilize a data processing framework (e.g., Apache Spark or Apache Beam) to read and transform the JSON data.

    • Define a sch...

  • Answered by AI
  • Q3. Write a pyspark code to join two tables and explain broadcastjoin() & what it does?

Skills evaluated in this interview

Lead Data Engineer Interview Questions & Answers

user image Priyanshu Singh

posted on 17 Jun 2024

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in May 2024.Β There was 1 interview round.

Round 1 - TechnicalΒ 

(6 Questions)

  • Q1. Architecture of spark
  • Ans. 

    Spark is a distributed computing framework that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.

    • Spark is built around the concept of Resilient Distributed Datasets (RDDs) which are immutable distributed collections of objects.

    • It supports various programming languages like Java, Scala, Python, and R.

    • Spark provides high-level APIs like Spark SQL for structured data...

  • Answered by AI
  • Q2. Methods to optimizing spark jobs
  • Ans. 

    Optimizing Spark jobs involves tuning configurations, partitioning data, caching, and using efficient transformations.

    • Tune Spark configurations for memory, cores, and parallelism

    • Partition data to distribute workload evenly

    • Cache intermediate results to avoid recomputation

    • Use efficient transformations like map, filter, and reduce

    • Avoid shuffling data unnecessarily

  • Answered by AI
  • Q3. Write SQL to find the second highest sal of emp in each dep
  • Ans. 

    SQL query to find the second highest salary of employees in each department

    • Use a subquery to rank the salaries within each department

    • Filter the results to only include the second highest salary for each department

    • Join the result with the employee table to get additional information if needed

  • Answered by AI
  • Q4. Write SQL to find the users who purchased 3 consecutive month in a year
  • Ans. 

    SQL query to find users who purchased 3 consecutive months in a year

    • Use a self join on the table to compare purchase months for each user

    • Group by user and year, then filter for counts of 3 consecutive months

    • Example: SELECT user_id FROM purchases p1 JOIN purchases p2 ON p1.user_id = p2.user_id WHERE p1.month = p2.month - 1 AND p2.month = p1.month + 1 GROUP BY p1.user_id, YEAR(p1.purchase_date) HAVING COUNT(DISTINCT MONT...

  • Answered by AI
  • Q5. Working of kafka with spark streaming
  • Q6. Fibonacci series

Interview Preparation Tips

Interview preparation tips for other job seekers - Work on SQL,Spark basic

Skills evaluated in this interview

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Interview QuestionnaireΒ 

6 Questions

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