
PhonePe
Data Engineer

Practice for Data Engineer
PhonePe
Fundamental Screening
This round focuses on evaluating the candidate's foundational knowledge of data engineering principles, their problem-solving abilities, and their fit with PhonePe's core values.
Explain the difference between data warehousing and data lake. When would you choose one over the other?
Describe a time when you had to optimize a slow-running SQL query. What steps did you take?
How do you ensure data quality in your data pipelines?
All interviews are private and won't be shared with the recruiters.
Technical Deep Dive
This round assesses the candidate's hands-on experience with big data technologies, their ability to design and implement data pipelines, and their understanding of data modeling principles.
Explain your experience with Apache Spark. How have you used it to process large datasets?
Describe a complex data pipeline you designed. What challenges did you face, and how did you overcome them?
How would you design a data model for storing transaction data in PhonePe? Consider the scalability and performance requirements.
All interviews are private and won't be shared with the recruiters.
Building for India - Technical Culture Fit
This round focuses on assessing the candidate's alignment with PhonePe's 'Building for India' ethos, their problem-solving approach in the context of the Indian market, and their ability to innovate within constraints.
PhonePe aims to empower every Indian through financial inclusion and digital access. How can data engineering contribute to this mission?
Describe a situation where you had to solve a data engineering problem with limited resources or infrastructure. How did you approach it?
PhonePe values 'Customer First' and 'Building for India'. How would you ensure that data engineering solutions are designed with these values in mind?
All interviews are private and won't be shared with the recruiters.