Data Integration Engineer

ComplyDP is a DPDP Act compliance platform. Live, revenue-generating,
backed by NVIDIA Inception, Google Cloud for Startups and T-Hub.
We are hiring founding engineers to own the data-discovery connectors
that run in our cloud, in a customer VPC, and on-prem inside regulated
networks.
Bengaluru-based, hybrid. Expect periodic travel to client sites, mostly
Mumbai, and Delhi for deployment work.
THE CONSTRAINT IS THE INTERESTING PART
Our connectors describe what a customer's systems hold — schemas,
columns, metadata — without reading values. No row samples, no cell
contents, nothing that could carry personal data back out. That refusal
is enforced by guards in the pipeline, not by convention, and it is the
reason a bank will let us inside their perimeter at all.
The other half of the job is real deployment. Our product runs inside
regulated clients' infrastructure: jump hosts, change tickets, security
reviews, air-gapped installs, read replicas, service accounts scoped to
the week. You will be the person who makes a connector work on someone
else's network, on their terms.
WHAT YOU WILL DO
- Build, test and deploy connectors across cloud SaaS, enterprise APIs
and on-prem databases
- Implement REST integrations with OAuth, pagination, retries and rate
limits, and report honestly when a walk stopped early rather than
claiming it finished
- Package connectors with Docker so the same job runs in our cloud, a
customer VPC, or fully air-gapped
- Write automated tests for auth, pagination, partial failure and rate
limits, and ship them through CI
- Leave logs and failure modes that explain a broken sync without
opening a production shell, because on a client site you often cannot
WHAT YOU BRING
- 3–7 years building integrations or connectors, in Python or Java
- REST APIs, OAuth, SQL and Docker, used on systems you shipped
- Production connectors in both a cloud environment and an on-prem or
VPC environment
- Automated tests and a CI path you have used to deploy an integration
change
- Comfort reading an unfamiliar schema and working out what it holds
- Willingness to travel to client sites for deployment
BONUS
- Data classification, DLP, or a discovery scanner you operated in
production
- Packaging an on-prem agent, or running connectors on Kubernetes
- BFSI exposure: core banking, lending, wealth or insurance systems
- Privacy, consent or data-governance products
WEAKER FIT
- Primarily ML research, frontend, analytics or BI
- DevOps or platform work without substantial connector and API
development
- Work that is mostly configuring an iPaaS rather than building
connectors
We hire people who have written integrations and debugged them in
production. Configuring an integration platform, without building the
connector underneath, is a weaker fit.
Founding role. Direct work with the founders, no layers.
₹18–32L plus ESOP, depending on depth.
TO APPLY
Email your CV to privacy@complydp.com with one paragraph: describe a
connector you built, what broke in production, how you found out, and
what you changed so it could not happen silently again.
We read that paragraph before the CV.

Work arrangement
Hybrid