What questions are asked in Goldman Sachs Switzerland Data Engineer interviews?

Recent candidates report role-specific technical depth, system design or case prompts, and behavioral STAR questions. "Merge intervals and discuss time/space complexity…" is among frequently reported topics.

Is domain-specific tech mandatory for Goldman Sachs Switzerland Data Engineer?

Strong fundamentals are required; stack depth signals vary by team. Panels often probe production scenarios even when the JD lists it as preferred.

How many rounds are there in Goldman Sachs Switzerland Data Engineer interviews?

Most loops include 3–5 rounds: recruiter screen, technical depth, system or domain panel, and behavioral/hiring-manager. Timelines often run 3–6 weeks.

How difficult is the Goldman Sachs Switzerland Data Engineer interview?

Difficulty is Medium–High. Candidates who practice real questions with AI mocks and follow-up chains outperform passive reading.

What SQL and data topics are asked at Goldman Sachs Switzerland?

Data-heavy tracks report warehousing, ETL, optimization, and modeling questions. Match prep to your specialization and recent candidate reports.

How do I answer "Merge intervals and discuss time/space complexity…" in a Goldman Sachs Switzerland panel?

Structure with constraints, approach, trade-offs, and metrics. Use the simulator's mock mode for Goldman Sachs Switzerland-style follow-ups and readiness tracking.

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Interview question

Merge intervals and discuss time/space complexity

Asked in Goldman Sachs Switzerland Data Engineer interviews

Asked by

40% candidates

Difficulty

Medium

Round

Technical Round

AI synthesized from candidate reports

Back to Questions

Question 2 of 4

Merge intervals and discuss time/space complexity

Medium59% Candidate ReportsCODINGGoldman Sachs SwitzerlandData Engineer

Question

Merge intervals and discuss time/space complexity

High-Level Approach

Sort, iterate, extend last if overlap else push.