Databricks interviews for data engineering and ML engineering roles in India test deep proficiency in Apache Spark, Delta Lake, and the Lakehouse architecture that Databricks pioneered.
About Databricks
Databricks India (Bengaluru) is a premium GCC for the Data + AI lakehouse platform, working on the Delta Lake engine, MLflow, Unity Catalog, and AI/BI (DBRX / Mosaic ML).
Apply or get sourced; recruiter screen and technical pre-screen
Online coding assessment in Python and SQL with data engineering problems
Technical interviews on Spark, Delta Lake, and distributed pipeline design
System design round on Lakehouse architecture, then hiring-manager and offer
Round 1 (45-60 min)
online coding screen with Python and SQL data manipulation problems at medium-hard LeetCode level.
Round 2 (60 min)
live technical interview on Spark internals, query optimisation, and Delta Lake operations with practical scenarios.
Round 3 (60-75 min)
distributed system design for a data pipeline: ingest, transform, store, and serve at petabyte scale on the Lakehouse architecture.
Round 4 (45 min)
behavioural and hiring-manager round on ownership, cross-functional collaboration, and handling ambiguity in data platform projects.
Sourced from 2+ candidate post-mortems. Hit Practice to answer any one with AI voice feedback.
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