The Evolvers Group is a tech-forward company driven by a commitment to innovation and excellence. Specializing in providing cutting-edge technology solutions, The Evolvers Group has established itself as a leader in the industry with a focus on delivering transformative results for its clients.

Joining The Evolvers Group as a Data Engineer means stepping into a key role where you’ll harness your skills in data architecture, cloud computing, and big data technologies. This position demands proficiency in SQL, Python, and data pipeline management, emphasizing efficient data processing and integration.

In this guide, we’ll walk you through the interview process, commonly asked Data Engineer interview questions, and provide invaluable tips to help you succeed. Let’s get you ready for your journey with The Evolvers Group!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining The Evolvers Group as a Data Engineer. Whether you were contacted by a recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from The Evolvers Group Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the hiring manager stays 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 Data Engineer role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around The Evolvers Group’s data systems, ETL pipelines, and SQL queries.

In the case of data engineer roles, take-home assignments regarding data structures, algorithms, and data pipeline architecture are incorporated. Apart from these, your proficiency against Python scripting, ETL processes, and cloud services may also be assessed during the round.

Depending on the seniority of the position, advanced 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 Evolvers Group office. Your technical prowess, including programming and advanced ETL processing 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 The Evolvers Group.

Quick Tips For The Evolvers Group Data Engineer Interviews

A few tips for acing your Data Engineer interview at The Evolvers Group include:

• Master SQL and ETL Processes: Data engineering interviews often dive deep into SQL proficiency and ETL process engineering. Make sure you’re confident in your ability to design and troubleshoot complex ETL pipelines.
• Understand Cloud Platforms: Familiarize yourself with cloud services, such as AWS, Azure, or Google Cloud Platform, as many Data Engineer roles involve cloud-based data solutions.
• Showcase Problem-Solving Skills: Be prepared to solve technical problems on the spot, demonstrating not just your technical knowledge but your critical thinking and problem-solving abilities.

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

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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 cell. 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.

• 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.

• 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.

• 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. Describe how you would design a two-week-long A/B test to evaluate a pricing increase and determine if it is a good business decision.

• How much should we budget for a $5 coupon initiative in a ride-sharing app? A ride-sharing app has a probability (p) of dispensing a $5 coupon to a rider and services (N) riders. Calculate the total budget needed for the coupon initiative.

• What is the probability of both or only one rider getting a coupon? A driver using the app picks up two passengers. Determine the probability of both riders getting the coupon and the probability that only one of them will get the coupon.

• 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.

• 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 probabilities 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.

• Is a coin that comes up tails 8 times out of 10 fair? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if this is a fair coin.

• What are time series models and why are they needed? Describe what time series models are and explain why they are necessary when less complicated regression models are available.

• How would you justify the complexity of building a neural network model and explain predictions to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of the model and explain its predictions to non-technical stakeholders?

• How would you evaluate the suitability and performance of a decision tree model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will repay a personal loan. How would you evaluate whether a decision tree is the correct model, and how would you assess its performance before and after deployment?

• How does random forest generate the forest, and why use it over logistic regression? Explain the process by which random forest generates its forest. Additionally, discuss why one might choose random forest over other algorithms such as logistic regression.

• 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, ensuring each explanation is tailored to their understanding level.

• What are the key differences between classification models and regression models? Describe the main differences between classification models and regression models.

Embark on an exciting career journey at The Evolvers Group, where innovation and growth thrive. If you're gearing up for a Data Engineer position, dive into our detailed The Evolvers Group Interview Guide, where we've outlined vital questions and insights to help you excel. Discover additional interview guides for other roles like software engineer and data analyst to expand your preparation further.

At Interview Query, we're here to supercharge your interview readiness with a well-rounded toolkit, providing the expertise, confidence, and strategic advice needed to tackle any Data Engineer interview challenge at The Evolvers Group.

Explore all our company interview guides for comprehensive preparation, and feel free to reach out if you have any questions.

Good luck with your interview!