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Hevo Data

No-code data pipeline and ELT platform

Business Systems Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Strong problem-solving ability and good business context.
  • Ownership from problem definition through rollout and maintenance.
  • Ability to turn loosely defined problems into working solutions.
  • Strong ability to use coding agents such as Claude Code or Codex to build significantly faster.
  • Experience with Claude Code, Codex, or similar coding agents.
  • Experience with Python, JavaScript/TypeScript, or similar programming languages.
  • Experience with SQL and databases.
  • Experience with Git and standard development workflows.
  • Experience with large language model application programming interfaces and agent frameworks.

Responsibilities

  • Work with business teams to understand problems and identify opportunities for automation or better tooling.
  • Build and maintain internal applications, integrations, automations, and workflows.
  • Decide when to build custom software and when to use existing tools.
  • Use artificial intelligence tools and application programming interfaces where they are useful for solving the problem.

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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