Interview questions
Preparing for a data engineering interview at JP Morgan? This page contains 23 real interview questions sourced from verified JP Morgan interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
JP Morgan data engineering interviews typically focus on Python/Coding, Spark/Big Data, and Cloud/Tools. There's a solid mix of fundamental and advanced questions, making it accessible for candidates at multiple experience levels.
Use the difficulty filters above to focus your preparation. For each question, attempt your own answer first, then compare with our expert solution. You can also practice these questions in our AI Mock Interview Coach for real-time feedback.
Describe how you deploy code to a production environment using Jenkins
Explain the Terraform lifecycle for deploying a new cluster on AWS
Write Terraform configurations for configuring an EC2 machine
Difference between stubs and skeletons in RMI (Remote Method Invocation)
Convert a Binary Search Tree (BST) into a skewed tree in either increasing or decreasing order
Explain the internal working of a HashMap
Finding Complete String Pairs - identify pairs of strings that when concatenated contain all 26 English alphabets
Read data from three files into a Pandas DataFrame, perform transformations, remove columns, filter rows, search for strings
What happens if the run() method in a Thread class is not overridden?
What is the default value for float and Float in Java?
When were lambda expressions introduced in Java?
Write a Singleton class implementation
Write a function that replaces all characters in a list except for a given character
Write code using Java's concurrent API (forEach, forEachEntry, forEachKey)
Given two dataframes (df1: id, name and df2: id, country, address, city, count), join them, filter for rows where country = 'Singapore', and pivot the output. Sort cities in descending order of population count
Hierarchical Employee-Manager Query - navigate hierarchy with head of company as employee_id = 1
Write a query that identifies numbers appearing at least three times consecutively without interruption
Bloom Filters in Spark projects - explain use case
Calculating Databricks costs - explain DBU
Controlling mappers in MapReduce
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