Wipro Data Engineer Interview Questions + Guide in 2024

Wipro Limited is a leading technology services and consulting firm known for its innovative solutions that address complex digital transformation needs. With a global presence in 66 countries and over 250,000 employees, Wipro has a strong commitment to sustainability and corporate citizenship.

The ideal candidate possesses a strong technical background and is adept at various facets of data engineering, including building efficient data pipelines and optimizing data storage and retrieval. As a data engineer at Wipro, you play a crucial role in enhancing data accessibility and performance, contributing significantly to the organization’s data-driven initiatives. You will be tasked with designing and maintaining scalable ETL processes utilizing Talend and Azure Data Factory to ensure precise data extraction, transformation, and loading.

This guide will help you navigate the interview process, covering essential aspects such as commonly asked Wipro data engineer interview questions and tips to succeed. Let’s get started!

The interview process usually depends on the role and seniority. However, you can expect the following on a Wipro data engineer interview:

Recruiter/Hiring Manager Call Screening

If your resume passes the initial screening, a Wipro’s Talent Acquisition Team recruiter will contact you to verify key details such as your experience and skills. This stage may include behavioral questions and is often a prelude to setting up more in-depth technical discussions.

The recruiter call typically lasts about 30 minutes and may involve light technical discussions or queries about your understanding of Wipro’s projects and roles.

Technical Interview Rounds

First Technical Round: A Wipro employee generally conducts this round and focuses on your technical expertise in data engineering, including questions about Azure Data Factory, Azure Databricks, and other big data tools. Expect scenario-based questions like:

• What is Azure Data Factory?
• How do you move files from on-premises to the cloud?
• CI/CD integration runtime.
• Write a query to get the maximum salary and do it differently.
• Explain ADLS Gen1 VS ADLS Gen2.
• Different Spark optimization techniques used in a project.

Additionally, questions may delve into your past projects, challenges faced, and how you utilized different tools.

Second Technical Round: In this round, the focus shifts to architecture and more in-depth technical aspects. Questions may target specific data engineering frameworks such as Hadoop, Spark, Hive, and extensive data processing methods:

• How do you handle large amounts of data?
• Describe the persistence options in Spark.
• Explain how schedulers like Airflow work and optimize.
• How would you configure a Databricks cluster for a business use case?

Client Interview: A client interview may follow. This interview often takes a managerial angle and assesses your leadership capabilities, problem-solving skills, and ability to lead projects. The questions might range from past project management experiences to the technical intricacies of data pipelines and database management.

HR Discussion

The final round is typically an HR discussion focusing on salary expectations and other HR-related queries. This round ensures that both parties are aligned on compensation, work culture, and future growth opportunities within the company. Expect questions like:

• Your previous salary hikes.
• Why did your previous organization give you a salary hike?
• Where do you see yourself in the next five years?

Typically, interviews at Wipro vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

1. Write a SQL query to select the 2nd highest salary in the engineering department.

Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

2. Write a function to find the maximum number in a list of integers.

Given a list of integers, write a function that returns the maximum number in the list. If the list is empty, return None.

3. Create a function convert_to_bst to convert a sorted list into a balanced binary tree.

Given a sorted list, create a function convert_to_bst that converts the list into a balanced binary tree. The output binary tree should be balanced, meaning the height difference between the left and right subtree of all the nodes should be at most one.

4. Write a function to simulate drawing balls from a jar.

Write a function to simulate drawing balls from a jar. The colors of the balls are stored in a list named jar, with corresponding counts of the balls stored in the same index in a list called n_balls.

5. Develop a function can_shift to determine if one string can be shifted to become another.

Given two strings A and B, write a function can_shift to return whether or not A can be shifted some number of places to get B.

6. What are the drawbacks of having student test scores organized in the given layouts?

Assume you have data on student test scores in two different layouts. Identify the drawbacks of these layouts and suggest formatting changes to make the data more useful for analysis. Additionally, describe common problems seen in “messy” datasets.

7. How would you locate a mouse in a 4x4 grid using the fewest scans?

You have a 4x4 grid with a mouse trapped in one of the cells. You can scan subsets of cells to know if the mouse is within that subset. Describe a strategy to find the mouse using the fewest number of scans.

8. How would you select Dashers for Doordash deliveries in NYC and Charlotte?

Doordash is launching delivery services in New York City and Charlotte. Describe the process for selecting Dashers (delivery drivers) and discuss whether the criteria for selection should be the same for both cities.

9. What factors could bias Jetco’s study on boarding times?

Jetco, a new airline, has the fastest average boarding times according to a study. Identify potential factors that could have biased this result and explain what you would investigate further.

10. How would you design an A/B test to evaluate a pricing increase for a B2B SAAS company?

A B2B SAAS company wants to test different subscription pricing levels. Design a two-week-long A/B test to evaluate a pricing increase and determine if it is a good business decision.

11. How would you explain linear regression to a child, a first-year college student, and a seasoned mathematician?

Explain the concept of linear regression to three different audiences: a child, a first-year college student, and a seasoned mathematician, tailoring your explanations to their understanding levels.

12. What happens when you run logistic regression on perfectly linearly separable data?

Given a dataset of perfectly linearly separable data, describe the outcome when logistic regression is applied.

13. How would you evaluate and deploy a decision tree model for predicting loan repayment?

As a data scientist at a bank, you need to build a decision tree model to predict loan repayment. Explain how you would evaluate if a decision tree is the right model and how you would assess its performance before and after deployment.

14. How would you justify using a neural network model to non-technical stakeholders?

If tasked with building a neural network model to solve a business problem, explain how you would justify the model’s complexity and explain its predictions to non-technical stakeholders.

15. How does random forest generate the forest and why use it over logistic regression?

Describe the process by which random forest generates its forest and explain why it might be preferred over logistic regression for certain problems.

16. How much should we budget for the coupon initiative in total?

A ride-sharing app has a probability (p) of dispensing a $5 coupon to a rider. The app services (N) riders. Calculate the total budget needed for the coupon initiative.

17. What is a confidence interval for a statistic and why is it useful?

Explain what a confidence interval is, why it is useful to know the confidence interval for a statistic, and how to calculate it.

18. What is the probability that item X would be found on Amazon’s website?

Amazon has a warehouse system where items are located at different distribution centers. In one city, the probability that item X is available at warehouse A is 0.6 and at warehouse B is 0.8. Calculate the probability that item X would be found on Amazon’s website.

19. Is this a fair coin?

You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if the coin is fair.

20. What are time series models, and why do we need them?

Describe what time series models are and explain why they are needed when we have less complicated regression models.

You should plan to brush up on any technical skills and try as many practice interview questions and mock interviews as possible. A few tips for acing your Wipro data engineer interview include:

• Brush Up on Azure Tools: Be well-versed with Azure Data Factory, Azure Databricks, and other tools relevant to the job. Hands-on experience can significantly boost your confidence during technical rounds.
• Prepare for Scenario-Based Questions: Many questions will revolve around real-world scenarios and your past projects. Be prepared to discuss them in detail, focusing on the problems you faced and how you solved them.
• Understand Big Data Ecosystems: A good understanding of Hadoop, Spark, Hive, and other big data technologies is essential. Focus on optimizations and use cases to demonstrate your depth of knowledge.

What is the average salary for a Data Engineer at Wipro?

According to Glassdoor, Data Engineer at Wipro earn between $86K to $121K per year, with an average of $102K per year.

What are the key skills required for a Data Engineer role at Wipro?

To excel as a Data Engineer at Wipro, you should have a strong command of Python, SQL, Spark, and experience with cloud platforms like Azure or AWS. Additional skills in Hadoop, Databricks, and data ingestion tools, as well as a good understanding of CI/CD processes and data warehousing solutions, are highly beneficial.

How is the company culture at Wipro?

Wipro is globally recognized for its commitment to sustainability and corporate citizenship. The company promotes a collaborative and innovative work environment, with ample opportunities for professional growth. However, candidate experiences regarding the interview process can vary, with some praising the structured process and others highlighting communication issues.

How can I improve my chances of getting hired as a Data Engineer at Wipro?

Thoroughly prepare for technical interviews by brushing up on big data technologies, cloud services, and scenario-based questions. Familiarize yourself with Wipro’s projects and services to better align your answers with their business needs. Additionally, practice problem-solving and coding challenges specific to Spark, SQL, and other data engineering tools.

As Wipro continues to expand its footprint in the technology space, the company is actively seeking passionate and skilled Data Engineers to join their esteemed team. The interview process at Wipro is well-structured, involving multiple rounds with technical, managerial, and HR components, all designed to ensure a smooth and comprehensive evaluation of a candidate’s skills.

For a more detailed understanding and to help you prepare effectively, check out the extensive list of Wipro interview questions. To gain further insights into the company’s culture, expectations, and the interview process across various roles, explore the Wipro company guide.

Good luck with your interview!