Knewin is dedicated to providing comprehensive and proactive media monitoring and analysis solutions, leveraging its expertise in artificial intelligence and big data. As a Data Engineer at Knewin, you will have a vital role in designing and developing data solutions that support the processing and analysis of massive datasets, enhancing the speed and accuracy of insights for clients. In this role, you will collaborate with diverse technical teams, architects, and business analysts to implement advanced data pipelines and infrastructures. This guide will walk you through the Knewin Data Engineer interview process, highlight key responsibilities, required qualifications, and offer insights to help you prepare.

Submitting Your Application

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

In the case of data engineering roles, take-home assignments regarding data pipelines, ETL processes, and big data management may be incorporated. Apart from these, your proficiency in programming languages like Python, Java, and understanding of cloud providers such as AWS, Azure, or Google Cloud, may 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 Knewin office. Your technical prowess, including programming, data modeling, and ETL pipeline design, 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 Knewin.

Quick Tips For Knewin Data Engineer Interviews

• Familiarize with Cloud Solutions: Knewin values experience with cloud providers like AWS, Azure, or Google Cloud. Have solid examples ready where you used these platforms to solve data engineering problems.
• Master ETL Processes: Brush up on your knowledge of ETL concepts and demonstrate your understanding of data processing frameworks like Apache Spark.
• Demonstrate Problem-Solving Skills: Be prepared to solve real-world data problems and articulate your approach during the interview. Show your analytical mindset and ability to troubleshoot effectively.

Typically, interviews at Knewin vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

• How would you measure the effectiveness of extra pay for delivery drivers during peak hours? You work at a food delivery company. How would you measure the effectiveness of giving extra pay to delivery drivers during peak hours to meet consumer demand?

• Create a function rain_days to calculate the probability of rain on the nth day after today. The probability that it will rain tomorrow depends on whether it rained today and yesterday. If it rained both days, there's a 20% chance it will rain tomorrow. If it rained one of the days, there's a 60% chance. If it rained neither day, there's a 20% chance. Given it rained today and yesterday, write a function to calculate the probability it will rain on the nth day after today.

• What are the assumptions of linear regression? List and explain the key assumptions that must be met for linear regression analysis to be valid.

If you’re aiming for a Data Engineer position at Knewin, you’re in for an insightful and rewarding journey. Knewin is seeking highly skilled professionals who are not only adept in data infrastructure but can also drive strategic solutions and collaborate effectively. With roles designed to support critical government and enterprise operations, Knewin offers an exciting platform for growth and technological innovation.

For an in-depth understanding and strategic preparation, visit our comprehensive Knewin Interview Guide. We provide extensive insights into the types of questions you might encounter and the overall interview process. Additionally, you can explore other roles through specialized guides like Software Engineer and Data Analyst, enhancing your familiarity with Knewin’s hiring landscape.

At Interview Query, we equip you with the knowledge, confidence, and strategic guidance essential for excelling in your Knewin Data Engineer interview. Don’t miss out on our company interview guides to ensure comprehensive preparation, and reach out to us anytime you have questions.

Good luck with your interview journey with Knewin!