Incedo Data Engineer Interview Questions + Guide in 2024

Incedo is a growing firm recognized for its expertise in digital transformation, data science, and technology services. With a workforce of over 2,000 specialists operating from six global offices, including locations in the US and India, Incedo serves a wide array of sectors such as telecom, financial services, product engineering, and life sciences.

Data Engineer roles at Incedo focus on building scalable data pipelines, optimizing ETL processes, and leveraging cloud platforms like AWS, Azure, and GCP. These roles require a solid grasp of SQL, data modeling, machine learning frameworks, and DevOps methodologies. Successful candidates will work on innovative projects and collaborate with cross-functional teams to drive transformative outcomes for clients.

Explore this guide on Interview Query to get insights into the interview process, typical Incedo data engineer interview questions, and tips to help you succeed in this coveted role.

The interview process usually depends on the role and seniority; however, you can expect the following on an Incedo Inc. data engineer interview:

Recruiter/Hiring Manager Call Screening

If your CV is shortlisted, a recruiter from the Incedo Talent Acquisition Team will contact you to verify key details such as your experiences and skill level. Behavioral questions may also be part of the screening process.

In some cases, the Incedo Data Engineer hiring manager might also be present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Incedo Data Engineer role is usually conducted through virtual means, including video conferencing and screen sharing. Questions in this 1-hour long interview stage may cover SQL, Python, ETL pipelines, database management, and basic data science concepts like k-means and feature engineering.

For the data engineer roles, you might face coding challenges and scenario-based questions regarding product metrics, analytics, and data processing techniques. Apart from these, your proficiency in statistics, probability distributions, and data engineering fundamentals may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the Incedo office. Your technical prowess, including programming and data modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Data Engineer role at Incedo.

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

1. What is the probability of both riders getting the coupon?

A driver using the app picks up two passengers. Determine the probability that both riders will receive the coupon.

2. 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, and how to calculate it.

3. 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. Given the probability that item X is available at warehouse A (0.6) and warehouse B (0.8), calculate the probability that item X would be found on Amazon’s website.

4. 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.

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

Describe what time series models are and explain why they are necessary when simpler regression models exist.

6. 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 each explanation to their understanding level.

7. 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.

8. How would you evaluate and validate 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.

9. 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.

10. 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 other algorithms like logistic regression.

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

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.

12. 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. How would you determine the mouse’s location using the fewest number of scans?

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

Doordash is launching delivery services in New York City and Charlotte and needs a process for selecting dashers. How would you decide which Dashers do these deliveries, and would the criteria for selection be the same for both cities?

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

Jetco, a new airline, had a study showing it has the fastest average boarding times. What factors could have biased this result, and what would you investigate?

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

You work at a B2B SAAS company, and they are interested in testing different subscription pricing levels. Your project manager asks you to run a two-week-long A/B test to test an increase in pricing. How would you design the test and determine if the pricing increase is a good business decision?

16. 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.

17. 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.

18. 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.

19. 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.

20. Develop a function can_shift to check 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.

To help you prepare well for your Incedo Data Engineer interview, here are some tips based on candidate experiences:

1. Prepare Well for SQL and Python Questions: Make sure to brush up on your advanced SQL and Python coding skills, as they are essential. Practice common SQL querying problems and Python coding challenges.

2. Understand Data Engineering Concepts: Be well-versed with fundamental data engineering principles, including ETL processes, data warehousing, and modeling. Review key concepts such as Data Vault methodology, data integration, and pipeline optimization.

3. Know Your Resume: Be prepared to discuss your past projects in detail, especially those relevant to data engineering. Focus on explaining your role in optimizing SQL queries, using Python for data science, and managing data infrastructure.

What is the average salary for a Data Engineer at Incedo Inc.?

According to Glassdoor, data engineers at Incedo Inc. earn between $97K to $135K per year, with an average of $114K per year.

What kind of technical skills are required for the Data Engineer role at Incedo Inc.?

Candidates should have strong proficiency in SQL and experience with database management systems. Hands-on experience with data modeling tools, ETL processes, and cloud platforms like AWS, Azure, or GCP is essential. Proficiency in programming languages such as Python, PySpark, and Scala, along with knowledge of data warehousing and big data technologies, is highly desirable.

What is the company culture like at Incedo Inc.?

Incedo Inc. is known for its innovative, collaborative, and diverse work culture. Employees are encouraged to take risks, think creatively, and continually learn. The company offers ample learning opportunities through platforms like Incedo University and supports flexible career paths, making it a conducive environment for growth and development.

What kind of projects can a Data Engineer at Incedo Inc. expect to work on?

Data Engineers at Incedo Inc. can expect to work on a variety of projects, including developing scalable data models, designing and optimizing ETL processes, and ensuring data quality and integrity. Projects often involve cloud-based data platforms and require collaboration with data scientists, analysts, and other stakeholders to deliver technical solutions that align with business requirements.

If you are looking to join a dynamic and technologically pioneering company like Incedo as a Data Engineer, understanding the interview process and preparing adequately can make a significant difference in your success. Incedo is thorough in evaluating candidates for both technical proficiency and cultural fit.

If you want more insights about the company, check out our main Incedo Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about Incedo’s interview process for different positions.

You can also check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!