Micron Technology Big Data Engineer interview questions
based on 20 ratings - Updated Nov 16, 2025
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Micron Technology interviews FAQs
Big Data Engineer applicants have rated the interview process at Micron Technology with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 67.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Big Data Engineer roles take an average of 21 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Micron Technology overall takes an average of 21 days.
Common stages of the interview process at Micron Technology as a Big Data Engineer according to 3 Glassdoor interviews include:
One on one interview: 75%
Presentation: 25%
Here are the most commonly searched roles for interview reports -
Online test consists of dsa questions, sql questions and mcqs.
First round technical interview.It is based on resume. Asked to solve some easy dsa questions, sql queries. Also covered on oop,python.
Next round is a technical+ managerial question with few technical and hr questions
Interview questions [1]
Question 1
Find the second highest salary.
Sort array elements without inbuilt functions. String manipulations
1. DSA (Data Structures & Algorithms)
Goal: Test your problem-solving skills, coding ability, and logical thinking.
Common Topics:
Arrays & Strings → Searching, sorting, sliding window, two pointers
Linked List → Reverse, detect cycle, merge
Stack & Queue → Balanced parentheses, LRU cache
Trees & Graphs → Traversals (DFS/BFS), shortest path
Recursion & Backtracking → N-Queens, permutations
Dynamic Programming → Knapsack, longest common subsequence
Example Question:
“Given an array, find the length of the longest subarray with sum = K.”
“Implement LRU Cache.”
Tip: They check how you think, not just the final answer. Explain your steps.
Interview questions [1]
Question 1
2. DBMS (Database Management System)
Goal: Check your knowledge of databases, queries, and design.
Common Topics:
SQL Queries → SELECT, JOIN, GROUP BY, HAVING
Normalization → 1NF, 2NF, 3NF
Transactions → ACID properties
Indexes → Types, usage, pros/cons
ER Diagrams → Designing schemas
Example Question:
“Write an SQL query to find the 2nd highest salary from the Employee table.”
“Explain the difference between INNER JOIN and LEFT JOIN.”
“What are ACID properties in DBMS?”
Tip: Even if you forget exact SQL syntax, explain the logic clearly.
On campus interview. One technical round with basic coding questions. The HR round focused on applications of different computer science topics like threads etc. The interviewers were freindly and helpful.
Interview questions [1]
Question 1
During the HR round the question asked was give a large text file how to handle it to do the better search operations. No the answer was not using hashmaps but related to using the concepts of threads.