Data Engineer Interview Questions
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Adobe Coding Question: Shortest Subarray with K Distinct
Shortest contiguous subarray with exactly k distinct integers. Learn sliding-window + hash-map approach, edge cases, and practical tips — practice now.
Binary Tree Path Sum — Amazon Coding Question Guide
Practice Amazon coding: implement root-to-leaf and any-node downward path-sum in a binary tree. Learn DFS/backtracking and prefix-sum optimizations — try code examples.
Coupang Coding Interview: Connected Components (Graph)
Count connected components in an undirected graph with BFS/DFS or Union-Find. See approach, complexities, and interview tips for Coupang ML Engineer. Read now
Databricks Behavioral: Skill Development Guide for Engineers
Prepare for Databricks behavioral interview on skill development: learn how to present learning from internships, feedback-driven growth, and handling ambiguity. Practice now.
DoorDash ML System Design: Multi-Channel Restaurant Recs
DoorDash ML design: build a multi-channel restaurant recommender with candidate gen & personalization, low-latency serving and channel-specific delivery.
Google Coding Question: Online Longest Subarray with Average
Track longest contiguous subarray with average S online. Use prefix-sum key = pref - S*i with a hashmap. Read precision tips and complexity notes.
Google System Design: Twitter Hashtag Aggregator Guide
Practice Google's backend system design: real-time Twitter hashtag aggregator. Learn ingestion, aggregation windows, DB trade-offs and interview follow-ups.
LinkedIn ML: Large-Scale Streaming Mean & Variance
Compute population mean and variance in one pass over massive float streams. Includes mergeable, numerically stable summaries for distributed ML systems — try it.
Microsoft ML Foundations: Statistical Analysis & A/B Tests
Microsoft ML interview: statistical analysis, A/B tests, hypothesis tests & confidence intervals. Learn test setup, sample-size, common pitfalls and follow-ups.
Netflix ML System Design: Real-time Sentiment Tracking
Design a scalable real-time social media sentiment tracking system for Netflix. Learn architecture, streaming NLP, time-series aggregation, alerting. Prepare.
Palantir ML System Design: Scalable Music Recommender
Plan a scalable, low-latency music recommendation service for streaming platforms. Learn architecture, APIs, data models, and real-time updates for Palantir ML interviews.
Palantir System Design: Taxi Route Recommendation Service
Prepare for Palantir interviews: design a scalable, low-latency taxi route recommendation. Covers architecture, streaming pipelines, and real-time logic.
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