Resurgent Capital Services is a prominent financial services company specializing in debt management and recovery solutions. The company is known for its robust analytics-driven approach and commitment to ethical debt collection practices, making it a leader in the industry.

As a Data Engineer at Resurgent Capital Services, you will be an integral part of their data infrastructure team, responsible for designing, developing, and maintaining efficient data pipeline architectures. The role demands expertise in big data technologies, SQL, and programming languages such as Python or Java, along with a strong foundation in data warehousing and ETL processes.

If you’re aiming to join Resurgent Capital Services, this guide is tailored for you. We will cover the interview process in detail, share some commonly asked Data Engineer interview questions, and provide valuable tips to help you succeed. Let's dive in!

Submitting Your Application

The first step in the interview process for the Data Engineer position at Resurgent Capital Services is to submit a compelling application that reflects your technical skills and interest in the role. Whether you were contacted by a recruiter from Resurgent Capital Services or have taken the initiative yourself, it is crucial to 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, ensure that you highlight relevant skills and mention your work experiences that align with the job requirements.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Resurgent Capital Services 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 Resurgent Capital Services 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 at Resurgent Capital Services is usually conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around:

• Data systems and ETL pipelines
• SQL queries
• Data modeling concepts
• Data warehousing solutions

In some cases, take-home assignments regarding data manipulation, data visualization, and problem-solving scenarios are incorporated. Your proficiency in data engineering fundamentals, including understanding of cloud services, and scripting languages like Python or Scala, may also be assessed during this round.

Onsite Interview Rounds

Following 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 Resurgent Capital Services office. Your technical prowess, including programming capability, data pipeline architectures, and problem-solving skills, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also be included during the onsite interview for the Data Engineer role at Resurgent Capital Services.

Quick Tips For Resurgent Capital Services Data Engineer Interviews

Below are a few tips to help you prepare for Resurgent Capital Services Data Engineer interviews based on past interview experiences:

• Deepen Your Knowledge of ETL Processes: A significant part of the Data Engineer role revolves around ETL (Extract, Transform, Load) processes. Make sure you have a firm grasp on these and can discuss specific ETL tools and techniques.
• Brush Up on SQL Skills: SQL is fundamental for data engineering roles. Practice commonly asked SQL questions and ensure you can handle complex queries efficiently.
• Understand Cloud Platforms: Familiarize yourself with cloud-based data solutions. Whether it’s AWS, Azure, or Google Cloud Platform, understanding these environments can be crucial.

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

• What are the Z and t-tests, and when should you use each? Explain what Z and t-tests are, their uses, the differences between them, and the scenarios in which one should be used over the other.

• What are the drawbacks of the given data layouts, and how would you reformat them for analysis? Given student test scores in two different layouts, identify the drawbacks of each format. Suggest formatting changes to make the data more useful for analysis and describe common problems in "messy" datasets.

• What metrics would you use to determine the value of each marketing channel? Given data on marketing channels and their costs for a company selling B2B analytics dashboards, identify the metrics you would use to evaluate the value of each marketing channel.

• How would you determine the next partner card using customer spending data? With access to customer spending data, describe the process you would use to determine the next partner card for a company, similar to Starbucks or Whole Foods chase credit cards.

• How would you investigate if the redesigned email campaign led to the increase in conversion rate? Given an increase in new-user to customer conversion rate after a redesigned email journey, explain how you would investigate whether the increase was due to the new email campaign or other factors.

• Write a function search_list to check if a target value is in a linked list. Write a function, search_list, that returns a boolean indicating if the target value is in the linked_list or not. You receive the head of the linked list, which is a dictionary with keys value and next. If the linked list is empty, you'll receive None.

• Write a query to find users who placed less than 3 orders or ordered less than $500 worth of product. Write a query to identify the names of users who placed less than 3 orders or ordered less than $500 worth of product. Use the transactions, users, and products tables.

• Create a function digit_accumulator to sum every digit in a string representing a floating-point number. You are given a string that represents some floating-point number. Write a function, digit_accumulator, that returns the sum of every digit in the string.

• Develop a function to parse the most frequent words used in poems. You're hired by a literary newspaper to parse the most frequent words used in poems. Poems are given as a list of strings called sentences. Return a dictionary of the frequency that words are used in the poem, processed as lowercase.

• Write a function rectangle_overlap to determine if two rectangles overlap. You are given two rectangles a and b each defined by four ordered pairs denoting their corners on the x, y plane. Write a function rectangle_overlap to determine whether or not they overlap. Return True if so, and False otherwise.

• How would you design a function to detect anomalies in univariate and bivariate datasets? If given a univariate dataset, how would you design a function to detect anomalies? What if the data is bivariate?

• What are the drawbacks of the given student test score data layouts? Assume you have data on student test scores in two layouts (dataset 1 and dataset 2). What are the drawbacks of these layouts? What formatting changes would you make for better analysis? Describe common problems in “messy” datasets.

• What is the expected churn rate in March for customers who bought subscriptions since January 1st? You noticed that 10% of customers who bought subscriptions in January 2020 canceled before February 1st. Assuming uniform new customer acquisition and a 20% month-over-month decrease in churn, what is the expected churn rate in March for all customers who bought the product since January 1st?

• How would you explain a p-value to a non-technical person? How would you explain what a p-value is to someone who is not technical?

• What are Z and t-tests, and when should you use each? What are the Z and t-tests? What are they used for? What is the difference between them? When should you use one over the other?

• How does random forest generate the forest and why use it over logistic regression? Explain how random forest generates multiple decision trees and combines their results. Discuss the advantages of using random forest over logistic regression, such as handling non-linear data and reducing overfitting.

• When would you use a bagging algorithm versus a boosting algorithm? Compare the use cases for bagging and boosting algorithms. Provide examples of tradeoffs, such as bagging reducing variance and boosting reducing bias but being more prone to overfitting.

• How would you evaluate and compare two credit risk models for personal loans?

• Identify the type of model developed by the co-worker for loan approval.
• Describe how to measure the difference between two credit risk models over a timeframe, considering monthly installments.

• List metrics to track the success of the new model, such as accuracy, precision, recall, and AUC-ROC.

• What’s the difference between Lasso and Ridge Regression? Explain the differences between Lasso and Ridge Regression, focusing on their regularization techniques (L1 for Lasso and L2 for Ridge) and their impact on feature selection and model complexity.

• What are the key differences between classification models and regression models? Describe the main differences between classification and regression models, including their objectives (predicting categories vs. continuous values), evaluation metrics, and typical use cases.

What is the average salary for a Data Engineer at Resurgent Capital Services?

Q: What does a Data Engineer at Resurgent Capital Services do? A: A Data Engineer at Resurgent Capital Services is responsible for designing, developing, and optimizing data pipelines and architecture. They ensure that data flows smoothly and efficiently from disparate sources into systems where it can be accessed and analyzed.

Q: What skills are essential for a Data Engineer at Resurgent Capital Services? A: Key skills include proficiency in SQL, Python, and ETL tools, understanding of data warehousing solutions, and experience with cloud platforms like AWS or Azure. Strong problem-solving abilities and familiarity with big data technologies are also important.

Q: What is the interview process like at Resurgent Capital Services for a Data Engineer position? A: The interview process typically includes an initial phone screen, followed by technical assessments, and a final onsite interview. Candidates can expect to solve coding problems, demonstrate their knowledge of data engineering concepts, and discuss past projects.

Q: What makes Resurgent Capital Services a great place to work for Data Engineers? A: Resurgent Capital Services offers a collaborative and growth-oriented environment. Data Engineers have the opportunity to work on complex data challenges and be part of a team that values innovation and continuous learning.

Q: How can I prepare for an interview at Resurgent Capital Services? A: To prepare, it is recommended to brush up on SQL, Python, and data pipeline concepts. Practicing with Interview Query can help you simulate the interview environment and get a feel for the types of questions that may be asked.

If you want more insights about the company, check out our main Resurgent Capital Services 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 Resurgent Capital Services’ interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every Resurgent Capital Services interview.

You can 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!