Infosys is a global leader in next-generation digital services and consulting, helping clients in over 50 countries navigate their digital transformation. With over four decades of experience, Infosys provides innovative solutions powered by an AI-driven core, enabling enterprises to achieve unprecedented performance and customer satisfaction.

For the Data Engineer position, Infosys seeks individuals proficient in Python, SQL, and big data technologies like PySpark and Spark. Typically, the interview process includes three rounds: two technical and one HR, covering topics such as SQL syntax, data warehousing, cloud concepts, and data engineering best practices. This guide on Interview Query will walk you through the Infosys interview process, providing insights and tips to help you succeed. Let's get started!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and demonstrates your interest in joining Infosys as a Data Engineer. Whether you were contacted by an Infosys recruiter or took the initiative to apply yourself, make sure to carefully review the job description and tailor your CV accordingly.

Tailoring your CV may include identifying specific keywords used in the job description and ensuring they are highlighted in your resume. Crafting a targeted cover letter and emphasizing relevant skills and work experiences are also useful strategies for standing out.

Recruiter/Hiring Manager Call Screening

If your CV is among the shortlisted few, a recruiter from the Infosys Talent Acquisition Team will reach out to verify key details, such as your experiences and skill level. This initial screening will also include behavioral questions to gauge your fit within the company's culture.

Depending on the situation, the hiring manager may join the initial screening to answer any questions you might have about the role and the company. This discussion may cover surface-level technical and behavioral aspects to further assess your suitability for the role.

The entire recruiter call typically lasts about 30 minutes.

Technical Virtual Interview

Upon successfully navigating the recruiter round, you will be invited for the technical screening round. This is usually conducted virtually via video conference and screen sharing tools. Questions in this stage will focus on Infosys's data engineering needs, including but not limited to Python, SQL, and PySpark.

Coding problems often relate to basic and medium-level SQL and Python challenges, as well as understanding of PySpark architecture, RDDs, data transformation, and optimizations. Familiarity with ETL pipelines and tools like Apache Airflow, as well as cloud data platforms, will be crucial.

Considering the feedback from past interviewees, questions on OOPs, data modeling, SQL syntax, and technical problem-solving in Spark are also common. This round typically lasts for about an hour.

Onsite Interview Rounds

If you pass the technical screening, you will be invited to attend the onsite interview loop. This typically includes two technical rounds followed by a managerial interview and an HR round.

Technical Rounds:

• First Round: Focuses on solving one coding question, one SQL use case, and technical Spark-related questions. Real-scenario problem-solving is a critical aspect of this round.
• Second Round: Conducted by a manager-level interviewer. It may include a live coding session and in-depth discussions on SQL query optimization, Spark application optimization, and scenario-based questions around big data tools and technologies.

Managerial Round: The managerial round assesses your ability to manage daily work activities and your approach to various project challenges. You may also discuss your past experiences and technical projects.

HR Round: The final HR round includes behavioral questions and a discussion on compensation and benefits. This round ensures that you align well with the company’s culture and values.

Quick Tips For Infosys Data Engineer Interviews

A few tips for acing your Infosys Data Engineer interview include:

• Brush Up on Core Skills: Given the technical nature of the role, ensure you have a strong grasp of Python, SQL, PySpark, data warehousing concepts, and big data tools like Apache Airflow. Practice coding problems and optimize your solutions.
• Understand Big Data Architectures: Understand the intricacies of various big data tools and architectures, including Spark, Azure, and Snowflake. Be prepared to discuss how you've implemented or optimized these in past projects.
• Master Behavioral Interviews: Be ready to tackle behavioral questions focused on teamwork, project management, and conflict resolution. Infosys values a culture of collaboration, continuous learning, and agile digital transformation.

Typically, interviews at Infosys 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 would you choose the k value when using k-means clustering? When using k-means clustering, how would you determine the optimal number of clusters (k) to use?

• How would you explain what a p-value is to someone who is not technical? Explain the concept of a p-value in simple terms to someone without a technical background. Use an analogy or straightforward language to make it understandable.

• What is the difference between covariance and correlation? Provide an example. Describe the difference between covariance and correlation, and provide an example to illustrate the distinction.

What is the average salary for a Data Engineer at Infosys?

Q: What is the interview process for a Data Engineer position at Infosys like? The interview process at Infosys typically includes three rounds: two technical interviews followed by an HR round. The technical rounds focus on your coding skills, SQL, Apache Spark, and data engineering concepts, while the HR round covers behavioral questions and package discussions. The process can be highly competitive, especially for experienced candidates.

Q: What type of technical questions can I expect during the interview? You can expect questions on Python, SQL, PySpark, and big data tools. Common topics include data transformation, ETL processes, SQL query optimization, and Spark application optimization. Practical coding exercises in SQL and Python, as well as scenario-based questions, are also common.

Q: How should I prepare for the technical round at Infosys? To prepare for the technical round at Infosys, brushing up on Python, PySpark, and SQL is essential. Practice coding exercises, understand data warehousing concepts, and get familiar with big data tools. A good resource for preparation is Interview Query, which offers various practice problems and insights.

Q: What is the overall experience of candidates who interviewed at Infosys for this role? Candidates generally find the interview experience at Infosys positive and well-structured. Interviewers tend to be professional and adaptive to the experience level of the candidate. However, there are instances where some candidates faced delays or found certain interviewers less engaging. Overall, it's a competitive but rewarding experience.

Q: What benefits does Infosys offer for the Data Engineer position? As a full-time Infosys employee, you are eligible for comprehensive benefits, including medical, dental, vision, and life insurance. Other perks include long-term and short-term disability insurance, health and dependent care reimbursement accounts, a 401(k) plan, and paid holidays plus paid time off. Infosys also fosters a learning culture, encouraging teamwork, collaboration, and continuous improvement.

Preparing for a Data Engineer position at Infosys is a comprehensive journey, involving a mix of technical assessments and behavioral evaluations. Infosys' interview process is structured, typically comprising multiple rounds that include technical discussions around SQL, Python, and data engineering tools like Spark and PySpark, as well as scenario-based problem-solving tasks. The process can span a month or more, but candidates consistently report the supportiveness of recruiters and the professionalism of interviewers, despite the occasional logistical hiccup or unconventional question. If you want more insights about the company, check out our main Infosys 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 Infosys’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 Infosys Data Engineer 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!