Techit Solutions is a forward-thinking company specializing in cutting-edge technology solutions for a global clientele. Known for its innovative and dynamic environment, Techit Solutions places a high value on creativity, collaboration, and technical prowess.

As a Data Engineer at Techit Solutions, you'll be at the forefront of designing, implementing, and optimizing robust data pipelines and architectures that support various business needs. This role demands proficiency in data modeling, ETL processes, and big data technologies. Ideal candidates are collaborative, detail-oriented, and possess strong analytical skills to drive data-driven decisions.

Thinking of joining Techit Solutions? This guide from Interview Query will help you navigate the interview process, from typical Data Engineer interview questions to tips for success. 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 Techit Solutions as a Data Engineer. Whether you were contacted by a Techit Solutions 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 Techit Solutions 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 Techit Solutions 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 Techit Solutions 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 company’s data systems, ETL pipelines, and SQL queries.

In the case of data engineer roles, take-home assignments regarding data processing, database management, and data integration are incorporated. Apart from these, your proficiency against coding tasks, data architecture, and big data tools 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 Techit Solutions office. Your technical prowess, including programming and data pipeline design 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 Techit Solutions.

Quick Tips For Techit Solutions Data Engineer Interviews

• Familiarize Yourself with Tech Stack: Make sure you are well-versed in the technologies used by Techit Solutions. Brush up on your knowledge and practice problems related to SQL, ETL processes, and big data tools.
• Practice Behavioral Questions: Technical skills alone won’t get you through. Practice answering behavioral questions that reflect Techit Solutions' core values and demonstrate your soft skills and ability to work within a team.
• Be Prepared for Case Studies: Be ready to tackle case studies. These may involve solving specific data engineering problems, so make sure to practice with scenarios to enhance your problem-solving skills.

Typically, interviews at Techit Solutions 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 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?

• 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? Would the criteria for selection be the same for both cities?

• 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?

• 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. Your project manager asks you to run a two-week-long A/B test to test an increase in pricing. How would you design this test, and how would you determine if the pricing increase 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 is found on Amazon's website? Amazon has a warehouse system where item X is available at warehouse A with a probability of 0.6 and at warehouse B with a probability of 0.8. Given that items are only listed on the website if they exist in the distribution centers, calculate the probability that item X would be found on Amazon's website.

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

• What are time series models and why are they needed? Describe what time series models are and explain why they are necessary when simpler 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 and deploy 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 key differences between classification models and regression models.

Embark on your journey with Techit Solutions as a Data Engineer by delving into our exclusive Techit Solutions Interview Guide, where we have meticulously compiled a plethora of potential interview questions. Additionally, explore our interview guides for other roles such as software engineer and data analyst to gain comprehensive insights across various positions.

At Interview Query, we are dedicated to equipping you with unmatched knowledge, confidence, and strategic guidance, ensuring you are thoroughly prepared for every challenge in your Techit Solutions Data Engineer interview. For a more robust preparation, don't miss checking out all our company interview guides. If you have any questions, feel free to reach out.

Best of luck with your interview!