***Transnational Software Services Pvt Ltd (TSS) is an established leader in the software industry, known for delivering innovative technology solutions to a global clientele. With a particular emphasis on reliability and cutting-edge development, TSS stands as a formidable player in the market.

Securing a role as a Data Engineer at TSS is a sought-after opportunity for aspiring tech professionals. The position demands proficiency in data architecture, ETL processes, data warehousing, and big data technologies. As a Data Engineer, you will be pivotal in developing robust data pipelines, optimizing data flow, and ensuring seamless data integration.

If you’re contemplating joining TSS, this guide is for you. We'll navigate you through the interview process, key competencies required, and provide insights into common interview questions and preparation tips sourced directly from Interview Query. 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 Transnational Software Services Pvt Ltd as a Data Engineer. Whether you were contacted by a recruiter from Transnational Software Services 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 Transnational Software 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 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 Transnational Software Services 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 data systems, ETL pipelines, SQL queries, and data warehousing.

In the case of data engineering roles, take-home assignments regarding ETL processes, data modeling, and schema design are incorporated. Apart from these, your proficiency against data structuring, coding challenges, and algorithm problems 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 Transnational Software Services office. Your technical prowess, including programming and database management 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 Transnational Software Services.

Quick Tips For Transnational Software Services Data Engineer Interviews

• Should contain three tips for interviewing for this specific company based on interview experiences.

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 Transnational Software Services Data Engineer interview include:

• Know the Data Ecosystem: Questions are standardized and rely heavily on your understanding of data engineering processes and technologies. Study the various data management systems, ETL tools, and big data technologies.
• Be Technically Proficient: Transnational Software Services’ data engineering interviews assess how well you can provide technical solutions and implement efficient data pipelines. Prepare by brushing up on your knowledge of SQL, Python, and ETL frameworks.
• Understand Business Needs: Transnational Software Services values data engineers who can align technical capabilities with business goals. Practice responding to situational questions where data engineering can solve business problems.

Typically, interviews at Transnational Software Services Pvt Ltd 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 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, and 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 test an increase in pricing 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 test an increase in pricing, and how would you determine if the 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 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? 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.

At Transnational Software Services Pvt Ltd, the role of a Data Engineer stands out for its exciting challenges and cutting-edge opportunities. If you're interested in exploring this position further, check out our comprehensive interview guide, where we've compiled many of the questions that may arise during the interview process. We also offer detailed guides for other essential roles, enabling you to understand the company's interview procedure thoroughly.

At Interview Query, we empower you to excel in your interview with a robust toolkit, equipping you with the knowledge, confidence, and strategic insights to tackle every interview challenge. Explore all our company interview guides for enhanced preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!