DataVidhya launches interview prep platform

A data engineer interview is usually not one interview. It is a stack of filters: one round asks you to write Structured Query Language queries, another asks you to build a pipeline in Python, and another asks why you picked one warehouse design over another. (datavidhya.com) That is why a lot of prep material feels incomplete. One site gives you coding drills, another gives you system design prompts, and a third gives you notes on tools like Apache Spark or dbt, so candidates end up stitching their own study plan together. (datavidhya.com) (stratascratch.com) DataVidhya is trying to turn that patchwork into one product. Its new interview prep platform is built around 150-plus coding problems and targets data engineering roles that work on pipelines, platforms, and warehouse systems. (x.com) (datavidhya.com) The coding side is centered on tools companies already test for. DataVidhya says the playground covers Python, Structured Query Language, PySpark, Scala, and dbt, with instant feedback inside the app. (datavidhya.com) (play.google.com) It also goes past code syntax into data modeling. The company says users can draw entity relationship diagrams, build dimensional models, and generate Structured Query Language from those designs inside a dedicated modeling playground. (medium.com) (play.google.com) That matters because many data engineering interviews are really architecture interviews in disguise. A candidate can pass a Python screen and still get stuck when asked how to partition a fact table, handle late-arriving events, or explain tradeoffs in a warehouse layout. (datavidhya.com 1) (datavidhya.com 2) DataVidhya has been building toward this for a while. An earlier Medium post described the product as “Code+” and broke the prep flow into five stages: coding, database work, technical rounds, resume review, and mock interviews. (medium.com) The launch also fits the company’s broader bundle. DataVidhya’s main course page now sells a 2026 subscription with 10 courses, 20-plus projects, 150-plus coding problems, and two interactive playgrounds, all under one membership. (datavidhya.com) This is a niche bet inside a crowded interview-prep market. Platforms like StrataScratch built large audiences around data science and Structured Query Language practice, while DataVidhya is narrowing in on the messier mix that data engineers actually face: distributed processing, warehouse design, orchestration, and platform decisions. (stratascratch.com) (datavidhya.com) The company is also selling scale as proof that the niche is big enough. Its site says more than 25,000 engineers use DataVidhya, and the mobile app listings describe the interview suite as part of a broader ecosystem with projects, leaderboards, and guided learning paths. (datavidhya.com) (apps.apple.com) (play.google.com) So the story here is not just “another question bank.” It is a push to make data engineering interview prep look more like the job itself: write code, design tables, explain architecture, and do all four under time pressure in one place. (x.com) (medium.com)