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Hevo Data

No-code data pipeline and ELT platform

Software Engineer 2

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

About the Job

Requirements

  • Solid object-oriented design skills and experience applying design patterns for maintainable SaaS integrations.
  • Hands-on experience with concurrent systems or data pipelines, including awareness of performance trade-offs and high-availability basics.
  • Good understanding of REST API development, including building endpoints and handling requests and responses for customer-facing applications.
  • Strong programming skills in Java and a solid grasp of data structures, algorithms, and problem-solving.
  • Analytical ability to troubleshoot SaaS connector challenges such as data inconsistencies, token refreshes, and schema drift.
  • Three to four years of experience in SaaS integrations, API development, or scalable data systems.
  • B Tech in Computer Science or an equivalent qualification.

Responsibilities

  • Build and optimize SaaS connectors for multiple applications while understanding application-specific nuances such as API limits and data synchronization.
  • Contribute to customer-facing REST API layers by implementing endpoints, authentication, and basic scalability features.
  • Resolve performance issues in data pipelines and maintain high-quality, efficient codebases.
  • Collaborate with senior team members on feature scoping, breakdown, and implementation, and own smaller components end to end.
  • Document integrations and contribute to system improvements under guidance.
  • Support junior team members through code reviews and best practices for system reliability.

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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