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Hevo Data Interview Preparation

Medium-Hard

Data Infrastructure / SaaS · Bengaluru

Hevo Data is a data integration company hiring analytics interns and freshers in Bengaluru.

280+ questions4 rounds5 expert tipshttps://hevodata.com

About Hevo Data

Hevo Data builds a no-code data pipeline platform used by more than a thousand companies worldwide, including Postman, Shopify, Doordash and Gartner. Its product moves data from hundreds of sources — databases, SaaS applications, event streams and files — into cloud warehouses reliably and without engineering effort, handling schema changes, failures and backfills that otherwise consume a data team's week. The company is backed by roughly forty-two million dollars from Peak XV Partners and Chiratae Ventures and is consistently rated number one on G2 in the ETL and data integration category, with a 4.5-plus rating from users who judge it on reliability rather than marketing. Its Bengaluru engineering and design teams own the product end to end. Data infrastructure is an unusually good place to learn design: the users are technical, the workflows are complex and stateful, and the difference between a good interface and a bad one shows up directly in how quickly a data engineer can debug a broken pipeline at midnight. Hevo describes itself as entering its next growth phase, and its design team is small enough that an intern's work reaches real users quickly.

Interview Rounds4

1
Online Assessment60–90 min

2–3 DSA coding problems on HackerRank, CodeSignal, or company platform

2
Technical Interview I45–60 min

Data structures & algorithms — arrays, trees, graphs, dynamic programming

3
Technical Interview II45–60 min

System design or low-level design — scalability, APIs, databases

4
HR / Culture Round30 min

Career goals, teamwork, strengths/weaknesses, role expectations

Practice Questions10

Key Topics

  • Data Structures & Algorithms150q
  • System Design50q
  • Object-Oriented Design40q
  • SQL & Databases25q
  • CS Fundamentals (OS, Networking)25q

Expert Tips

  • Practice LeetCode easy and medium problems before the OA — focus on arrays, strings, trees, and graphs.
  • For system design, use the RESHADED framework: Requirements, Estimation, Storage, High-level design, APIs, Detailed design, Evaluation.
  • Prepare 3–4 STAR stories covering: a challenge you solved, a time you worked in a team, a project you owned end-to-end.
  • After every coding solution, proactively state the time and space complexity — interviewers expect it.
  • Study common CS fundamentals: process vs thread, TCP vs UDP, REST vs GraphQL, SQL indexing, CAP theorem.