# SDE I at Hevo Data

> Onsite · India · Junior · Software engineering · open. Source: https://alderhq.app/jobs/lever%3Ahevodata%3A6cbbe304-e065-4711-bf3e-756795d2bc2a (read 2026-11-06).

## Facts (observed)

- Company: [Hevo Data](https://alderhq.app/companies/hevo-data)
- Location text: Bangalore, India
- Where it can be done from (inferred): Onsite · India (evidence: "Location lists "bangalore"")
- Posted: 2026-07-27 (102 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.lever.co/hevodata/6cbbe304-e065-4711-bf3e-756795d2bc2a
- Skills listed (inferred): TypeScript, Python, Java

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Bengaluru, n 15): p25 ₹32.7L, median ₹42.5L, p75 ₹84.3L

## Description (the employer's text)

### What you’ll own as SDE I at Hevo

. Implement SaaS connectors for assigned applications, learning application specific nuances like basic auth and data extraction.

. Assist in building simple REST API components, focusing on clean implementation and testing.

. Debug and optimize code for data pipeline efficiency under mentorship.

. Contribute to feature breakdown, coding, and documentation for smaller tasks.

. Apply logical thinking to solve integration issues and improve component quality.

### What you’ll bring to the table

. Basic object-oriented programming skills and familiarity with design principles.

. Exposure to data pipelines or APIs; eagerness to learn concurrency and performance basics.

. Foundational knowledge of REST APIs (e.g., making calls, handling JSON) – no deep expertise needed.

. Proficiency in Java/TypeScript/Python, good problem-solving with data structures and algorithms.

. Strong analytical and logical thinking for real-world challenges.

### Candidate Persona

. 0-1 years in software development, ideally with internships in integrations or data tools.

. B Tech in Computer Science or equivalent from a reputed college.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/lever%3Ahevodata%3A6cbbe304-e065-4711-bf3e-756795d2bc2a and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.