EY interview questions

Showing 1–6 of 6 results

• Architect cloud data ingestion patternsMedium

  This question evaluates a candidate's ability to design end-to-end cloud data ingestion and serving architectures, including streaming and batch patterns, CDC/event sourcing/micro-batch trade-offs, partitioning and compaction strategies, idempotency, schema evolution, PII tokenization, cost controls, and incident simulation for chaos testing.

  EYData ScientistData Manipulation (SQL/Python)Technical Screen
• Describe External Client Work and Process ImprovementMedium

  This question assesses a candidate's ability to navigate complex client engagements by demonstrating technical problem-solving, process optimization, and the ability to influence diverse stakeholders.

  EYTechnology ConsultantBehavioral & LeadershipHR Screen
• Design logical model and consumptionMedium

  This question evaluates understanding of logical data modeling, ERD-level design with keys and cardinalities, slowly changing dimensions, normalization versus denormalization trade-offs, and strategies for exposing curated datasets and read paths for analytics and regulatory consumers, indicating competency in data modeling and data delivery.

  EYData ScientistData Manipulation (SQL/Python)Technical Screen
• Explain a Career Move in a Self-Contained Consulting ScenarioMedium

  This question tests your ability to articulate a coherent career narrative that bridges technical analytical expertise with the client-facing requirements of a technology consulting role.

  EYTechnology ConsultantBehavioral & LeadershipHR Screen
• Map sources to functional dataset with SQLMedium

  This question evaluates competency in SQL-based data manipulation and data engineering concepts, including handling late-arriving data and deduplication to the latest ingested record, joining and filtering for enrichment and KYC status, and computing exposure metrics such as gross/net notional, limit utilization, and breach flags.

  EYData ScientistData Manipulation (SQL/Python)Technical Screen
• Walk through end‑to‑end deliveryMedium

  This question evaluates leadership and program-management competencies specific to data science, including end-to-end project ownership, cross-functional coordination, risk identification and mitigation, and production of phase artifacts.

  EYData ScientistBehavioral & LeadershipTechnical Screen