Это настоящие вакансии?
Страницы построены на каталоге реальных инженерных ролей и описаний, чтобы интервью было ближе к настоящему раунду.
Role practice
Выберите роль по направлению data, ответьте вслух на вопросы AI-интервьюера и получите вердикт по компетенциям после интервью.
Databricks
data
Build the next-generation distributed storage and processing engine on the Runtime team, contributing to Apache Spark, Delta Lake, and the data-plane services and query optimizer behind the Databricks Lakehouse. The work is deep systems engineering on petabyte-scale data over cloud object stores like S3 and Azure Blob. A technical interview would probe distributed-systems and database internals, query execution and optimization, and concurrency and performance engineering in Scala/Java on large datasets.
Ramp
data
Builds the data platform and pipelines that power Ramp's spend intelligence, analytics, and ML features, ingesting and transforming high-volume transaction data into reliable, queryable datasets. Owns batch and streaming infrastructure and the tooling other engineers use to build on top of data. A technical interview would probe data-pipeline and warehouse design, correctness and idempotency in ETL at scale, and tradeoffs between batch and streaming for financial data.
SpaceX
data
Build the data platform and tooling that turns Starlink's telemetry from millions of devices into actionable insight, developing pipelines and full-stack applications that let engineers monitor constellation and network health at scale. You'd work across backend data systems and frontend dashboards, typically in Python, TypeScript, and SQL. A technical interview would probe data-pipeline and schema design for high-volume telemetry, query performance and aggregation at scale, and your ability to build a full-stack tool that ingests and visualizes large, fast-moving operational data.
Страницы построены на каталоге реальных инженерных ролей и описаний, чтобы интервью было ближе к настоящему раунду.
Да. ExoForm проводит живое голосовое интервью, задает уточнения и после завершения показывает оценку и разбор ответов.
Нет. Можно начать бесплатно, а позже перейти на платный план, если нужно больше тренировок.