[24]7.ai Data Engineer Interview Guide Overview

Welcome to your ultimate guide for acing the Data Engineer interview at [24]7.ai! Headquartered in Bangalore with a hybrid working model, [24]7.ai is a leading provider of customer experience solutions powered by artificial intelligence and machine learning. We harness big data to help businesses understand their customers better and deliver personalized, predictive experiences.

What We Are Looking For

• Expertise in designing, developing, and maintaining data pipelines using Python, Pandas, Spark, and Google Dataflow.
• Strong knowledge of relational databases like SQL Server and MySQL, along with Google Cloud Platform.
• Experience in optimizing and troubleshooting scalable, efficient data solutions.
• Proficiency in data analytics tools such as PowerBI, Tableau, Data Studio, and Superset.
• Proven 6–8 years of design and development experience.
• Excellent communication skills and the ability to work collaboratively with cross-functional teams.
• A bachelor's degree in Computer Science, Information Science, or Data Science is required.

What You’ll Find in This Guide

1. Job Role Requirements 2. Essential Job Functions 3. Work Experience & Qualifications

Interview Process

1. Initial Screening
2. Technical Assessment
3. Panel Interview
4. Final HR Interview

Ready to take the next step in your career with [24]7.ai? Our guide will help you prepare thoroughly for each stage of the interview. Good luck!

Typically, interviews at [24]7.Ai vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Practice for the [24]7.Ai Data Engineer interview with these recently asked interview questions.