Expandtree Inc is a visionary company revolutionizing the tech landscape with its emphasis on data-driven solutions and innovative products. Widely recognized for its commitment to technological advancement and intelligent data management, Expandtree Inc continues to grow its influence across various industries.

Stepping into a role at Expandtree Inc, specifically as a Data Engineer, demands a high level of technical proficiency and keen analytical abilities. This position requires expertise in designing, constructing, and managing scalable data infrastructure and pipelines. As a Data Engineer, you will play a pivotal role in transforming data into actionable insights that drive business decisions.

If you aspire to join a cutting-edge company like Expandtree Inc, this guide is for you. Here, we at Interview Query will walk you through the interview process, highlight key areas of focus, and share some commonly asked interview questions and tips to help you succeed. Let's dive in!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Expandtree Inc as a Data Engineer. Whether you were contacted by an Expandtree 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 Expandtree 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 Expandtree Data Engineer 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 Expandtree 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 Expandtree’s data systems, ETL pipelines, cloud platforms, and SQL queries.

In the case of Data Engineer roles, take-home assignments regarding data transformations, data warehousing, and data modeling are incorporated. Apart from these, your proficiency against data structures, algorithms, and handling big data technologies such as Hadoop or Spark may also be assessed during the 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 Expandtree office. Your technical prowess, including programming and data engineering 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 Expandtree.

Quick Tips For Expandtree Inc Data Engineer Interviews

• Understand Expandtree’s Data Workflow: Expandtree's data processes and technologies can differ from other companies. Spend some time understanding their data architecture and common tools they use. You could be asked to interpret or optimize their existing data processes.
• Practice Core Data Engineering Skills: Brush up on SQL, ETL processes, database management, and cloud platforms. Review common data engineering scenarios and practice coding solutions to standard problems.
• Prepare for Behavioral Questions: Expandtree values cultural fit and teamwork. Prepare to discuss past experiences that highlight your technical problem-solving skills, as well as your ability to work effectively in a team setting.

Typically, interviews at Expandtree Inc 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 merge two sorted lists into one sorted list. Given two sorted lists, write a function to merge them into one sorted list. Bonus: What's the time complexity?

• Write a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of (O(n)) required.

• Write a function precision_recall to calculate precision and recall metrics from a 2-D matrix. Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).

• Write a function to search for a target value in a rotated sorted array. Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand. You are given a target value to search. If the value is in the array, then return its index; otherwise, return -1. Bonus: Your algorithm's runtime complexity should be in the order of (O(\log n)).

• Would you suspect anything unusual about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Would you consider this result suspicious?

• How would you set up an A/B test for button color and position changes? A team wants to A/B test changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you design this test?

• What steps would you take if friend requests on Facebook are down 10%? A product manager at Facebook reports a 10% decrease in friend requests. What actions would you take to investigate and address this issue?

• Why might job applications be decreasing despite stable job postings? You observe that the number of job postings per day has remained constant, but the number of applicants has been steadily decreasing. What could be causing this trend?

• What are the drawbacks of the given student test score datasets, and how would you reformat them? You have data on student test scores in two different layouts. What are the drawbacks of these formats, and what changes would you make to improve their usefulness for analysis? Additionally, describe common issues in "messy" datasets.

• 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 based on this outcome.

• Write a function to calculate sample variance from a list of integers. Create a function that takes a list of integers and returns the sample variance, rounded to 2 decimal places. Example input: test_list = [6, 7, 3, 9, 10, 15]. Example output: get_variance(test_list) -> 13.89.

• Is there anything suspicious about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Evaluate if there is anything suspicious about these results.

• How to find the median in a list where over 50% of elements are the same? Given a sorted list of integers where more than 50% of the list is the same integer, write a function to return the median value in (O(1)) computational time and space. Example input: li = [1,2,2]. Example output: median(li) -> 2.

• What are the drawbacks of the given student test score data layouts? You have student test score data in two different layouts. Identify the drawbacks of these layouts, suggest formatting changes for better analysis, and describe common problems in "messy" datasets.

• How would you evaluate whether using a decision tree algorithm is the correct model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will pay back a personal loan. How would you evaluate if a decision tree is the right choice? How would you evaluate the model's performance before and after deployment?

• How does random forest generate the forest and why use it over logistic regression? Explain how a random forest generates its forest of trees. Additionally, discuss why you might choose random forest over logistic regression for certain problems.

• When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms. In which scenarios would you use a bagging algorithm versus a boosting algorithm? Provide examples of the tradeoffs between the two.

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

• What metrics would you use to track the accuracy and validity of a spam classifier? You are tasked with building a spam classifier for emails and have completed a V1 of the model. What metrics would you use to track the model's accuracy and validity?

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

Q: What is the interview process at Expandtree Inc for the Data Engineer position?

A: The interview process at Expandtree Inc typically involves several stages, including an initial recruiter call, a technical phone screen, a take-home assignment, and onsite interviews. The process is designed to assess your technical skills, problem-solving ability, and cultural fit with the company.

Q: What skills are required for the Data Engineer position at Expandtree Inc?

A: To be successful as a Data Engineer at Expandtree Inc, you should possess strong programming skills, a deep understanding of database management, proficiency in SQL, and experience with data warehousing solutions. Knowledge of big data technologies such as Hadoop, Spark, and Kafka is also essential.

Q: What kind of projects do Data Engineers at Expandtree Inc work on?

A: Data Engineers at Expandtree Inc are involved in designing, building, and maintaining scalable data pipelines. They work on various projects, including data warehousing, real-time data processing, ETL processes, and data integration from multiple sources to support analytical and business intelligence needs.

Q: How can I prepare for an interview at Expandtree Inc for the Data Engineer role?

A: To prepare for an interview at Expandtree Inc, it's important to review your technical skills, particularly in SQL, Python, and big data technologies. Practicing common data engineering problems on platforms like Interview Query can be very beneficial. Additionally, be ready to discuss your past projects and how they align with the role at Expandtree Inc.

Q: What is the company culture like at Expandtree Inc?

A: Expandtree Inc prides itself on having a collaborative and innovative culture. The company values diversity, continuous learning, and promotes a work environment where employees feel empowered to take risks and contribute their unique ideas.

Embarking on a journey with Expandtree Inc. as a Data Engineer presents an incredible opportunity to grow and innovate within a dynamic and forward-thinking environment. If you want more insights about the company, check out our main Expandtree Inc. 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 Expandtree Inc.'s 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 Expandtree Inc. interview question and challenge.

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!