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Hevo Data

No-code data pipeline and ELT platform

Software Engineer 1

Backend EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • 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

Responsibilities

  • 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

Desired Qualifications

  • 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

About the Company

Hevo Data

No-code data pipeline and ELT platform

Hevo Data provides a cloud-based, no-code data pipeline platform that automates Extract, Load, and Transform tasks to move data from many sources into data warehouses. It connects to over 150 sources (SaaS apps, databases, cloud storage) and supports automatic schema management and real-time data replication. It differentiates itself with a user-friendly, no-code interface, automated handling of schema changes, and a Reverse ETL capability to push warehouse data back into operational tools, plus flexible tiered subscriptions and AWS Marketplace access. Its goal is to simplify data integration so organizations—ranging from small teams to large enterprises—can access up-to-date, consolidated data to make data-driven decisions.

Company size
201-500
Company stage
Series B
Total funding
$43M
Headquarters
San Francisco, CA
Founded
2016

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