Explain concurrency and reliability tradeoffs
Company: Netflix
Role: Data Engineer
Category: Software Engineering Fundamentals
Difficulty: hard
Interview Round: Onsite
The non-design fundamentals rounds covered several topics:
1. **Thread-safe counter**
- Implement an `AtomicCounter` or similar class with `increment()` and `get()` using built-in synchronization primitives such as `synchronized`.
- Explain why the implementation is correct and what its contention limits are.
2. **Double-checked locking**
- Explain how lazy initialization with double-checked locking works.
- Describe why a `volatile` reference is needed, what can go wrong without it, and when this pattern is appropriate.
3. **Distributed systems operations**
- Given a large-scale data platform service, explain how you would identify bottlenecks and balance consistency, availability, and scalability.
- Discuss when concepts such as CDN, consistent hashing, sharding, backpressure, and failover are useful.
- Walk through likely failure scenarios for systems similar to Kafka pipelines, Spark jobs, and job schedulers.
Quick Answer: This question evaluates skills in concurrent programming (thread-safety, synchronization primitives, memory visibility and lazy initialization) and distributed systems operations (bottleneck identification, consistency–availability trade-offs, sharding, backpressure, and failover) relevant to data engineering.