Humetis Technologies Inc. is a cutting-edge player in the tech industry, committed to leveraging data-driven solutions to propel innovation and efficiency across various sectors. Recognized for its dynamic and forward-thinking approach, Humetis Technologies continues to make significant strides in data engineering and analytics.

For those looking to join as a Data Engineer at Humetis Technologies, be prepared to demonstrate robust technical expertise in data modeling, ETL processes, SQL, and cloud computing. As a Data Engineer, you'll be at the heart of data architecture, optimizing data systems, and ensuring the seamless flow and accessibility of valuable data within the organization.

In this comprehensive guide by Interview Query, we will navigate you through the interview process, common questions, and offer insightful preparation tips to help you succeed. Get ready to embark on your journey with Humetis Technologies!

Submitting Your Application

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

In the case of data engineer roles, take-home assignments regarding data pipeline optimization, system design, and data modeling might be incorporated. Apart from these, your proficiency against data structures, algorithms, and problem-solving skills 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 Humetis office. Your technical prowess, including programming and ML 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 Humetis Technologies.

Quick Tips For Humetis Technologies Data Engineer Interviews

• 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 Humetis Technologies interview include:

• Understand Humetis' Data Architecture: Humetis questions are often centered around their data processes and systems. Study their technological stack and understand key components used in data engineering.

• Be Data Driven: Humetis Technologies’ interviews assess how well you can derive insights and optimize systems based on data. Brush up on your knowledge of ETL processes, data warehouses, and pipeline optimization, given these questions can be some of the hardest to solve.

• Embody the Spirit: Humetis Technologies values innovation and efficiency. Practice responding to behavioral questions with answers that reflect your problem-solving skills and cultural fit with Humetis’ core values.

Typically, interviews at Humetis Technologies 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 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 have a height difference of at most one between the left and right subtrees of all nodes.

• 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 figure out where the mouse is using the fewest number of 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 with the fewest scans?

• How would you decide which Dashers do deliveries in NYC and Charlotte for Doordash? Doordash is launching delivery services in New York City and Charlotte. How would you select Dashers for these deliveries? Would the criteria for selection be the same for both cities?

• What factors could have biased 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?

• 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 interested in testing different subscription pricing levels. How would you design a two-week A/B test to evaluate a pricing increase, and how would you determine if the increase is a good business decision?

• How much should a ride-sharing app budget for a $5 coupon initiative? 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 riders getting a coupon? A driver using the app picks up two passengers. Determine:

• The probability of both riders getting the coupon.

• 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 of finding an item on Amazon's website? Amazon has a warehouse system where items are located at different distribution centers. Given the probabilities that a specific item X is available at warehouse A (0.6) or warehouse B (0.8), calculate the probability that the item X would be found on Amazon's website.

• Is a coin fair if it comes up tails 8 times out of 10 flips? 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 if a decision tree is the correct model? How would you evaluate its performance before and after deployment?

• How does random forest generate the forest, and why use it over logistic regression? Explain how random forest generates its forest. Additionally, why would you choose random forest over other algorithms like 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. Tailor your explanations to each audience's understanding level.

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

Landing a Data Engineer position at Humetis Technologies Inc. can be a game-changer for your career, providing a unique opportunity to work with cutting-edge technologies and innovative projects. If you're eager to dive deeper and gain insights into the company and the interview process, check out our main Humetis Technologies Inc. Interview Guide where you'll find a treasure trove of interview questions, tips, and strategies. We've also crafted guides for other roles, such as software engineer and data analyst, to help you navigate the interview landscape effectively.

At Interview Query, we empower you with the knowledge, confidence, and strategic insights to ace any Humetis Technologies Inc. interview. Explore all our company interview guides and feel free to reach out to us with any questions.

Good luck with your interview!