ADA is the Data and AI Experience Company. We work with global enterprises to build data and AI powered experiences where every decision runs on real-time intelligence and every interaction earns trust. With over 1500+ customers across Retail, Food and Beverage, CPG, Telecommunications, Financial Services, Healthcare and Automotive , we operate in 35 markets around the world.

Our Connector Engineering group builds and operates data connectors that bring customer data from hundreds of third-party API-based systems into warehouses. Engineers use an internal declarative framework, authoring structured connector definitions for entities, endpoints, authentication, and sync behavior that the shared framework executes, tests, and runs in production.

The framework powers several hundred production connectors. Connector engineering pods own portfolios of live connectors—building recent ones, extending existing ones, fixing bugs, and handling incidents.

Build and ship connectors: Write connector definitions following the framework's syntax and rules, validate changes with the framework's validation and local-testing tooling, and write hybrid backend code for logic that can't be expressed declaratively.

Work with the team that owns the shared connector framework when a requirement needs a new framework capability (e.g., custom report support, new deployment modes ), and help evaluate framework-based vs. Write and maintain automated tests (unit, integration, and build-system-level test suites)



and support workflow/orchestration-based sync testing for your connectors.

Work with Product, Support, and Technical Writing to scope new connectors, resolve customer-impacting issues, and keep setup/overview documentation accurate .

2–3 years of professional software engineering experience, ideally building backend services, third-party API integrations, or ELT/data-pipeline connectors.

Strong proficiency in Java (or a comparable statically typed backend language); comfort picking up a declarative or functional DSL used for connector definitions.

Working knowledge of data sync/ELT concepts — incremental vs. Experience with Git-based workflows and collaborative code review.

Transparent written communication — this role works closely with Support, Product, Technical Writing, and the platform team, often asynchronously.

Prior experience maintaining SaaS/API connectors or working on an integrations team.

Interest in AI-assisted engineering tooling for connector generation or documentation.

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We transform businesses using data, AI and tech | ADA

Pioneers in data and analytics, we are powering global marketing and commerce digital transformation with data and AI-led impact.

📌 Data Engineer AI, Hybrid (Bengaluru)
🏢 ADA
📍 Bengaluru