ING Data Engineer Interview Questions
The questions to prepare for a ING Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Explain how you improved a slow ETL pipeline on multi-terabyte data, including bottleneck analysis, tuning choices, and validation.
INGAssesses your ability to model data for analytics and downstream use in regulated financial contexts.
INGTests your approach to data quality controls, governance, and consistency in large-scale pipelines.
INGAssesses end-to-end ownership of complex data migrations, including planning, execution, and risk management.
INGTests ownership, impact, and self-awareness through a concrete achievement story and the skill the candidate developed from it.
INGEvaluates tradeoffs between SQL and NoSQL for analytical workloads and reporting requirements.
INGAssesses ability to write and structure PySpark transformations with UDFs safely.
INGTests SQL and data manipulation skills focused on warehouse performance.
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Calculate each active RpmGlobal Enterprise Planning user's 30-day rolling average of daily activity.
Tavant
Rpmglobal
Two Six TechnologiesUse a CTE, join, date filters, and aggregation to find ING's top three spending categories among recently active users.
INGRank Balyasny research models by average return within each asset class using DENSE_RANK and aggregation.
Balyasny Asset Management