Experience : 3.00 + years

Salary : Confidential (based on experience)

Expected Notice Period : 30 Days

Shift : (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type : Office ()

Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: CDP)

**(*Note: This is a requirement for one of Uplers' client - CDP)

**What do you need for this opportunity?

Must have skills required: anti-AI dependency, Python-priority, REST, on-prem, Kubernates, Docker, SQL, Connectors, AWS, GCP, Gcp vpc

CDP is Looking for: Data Integration Engineer**** Engineering

- Bengaluru
- Office, client premises when needed (Client visit when needed)

Build, test, and deploy the data-discovery connectors that run in our cloud, in a customer VPC, and on-prem inside regulated networks.

What you will do

- Build, test, and deploy connectors for data discovery 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 on-prem
- 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
- 4–7 years building integrations or connectors, in Python or Java
- REST APIs, OAuth or API authentication, 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
- Depth in AWS, Azure, or GCP, plus a database or enterprise API you connected yourself
- Comfort reading an unfamiliar schema and working out what it actually holds

Bonus
- Data classification, DLP, or a discovery scanner you operated in production
- Packaging an on-prem agent, or running connectors on Kubernetes
- Privacy, consent, or data-governance products
- BFSI exposure: core banking, lending, wealth, or insurance systems

Weaker fit
- Primarily ML or AI research, frontend, generic analytics, or BI
- DevOps or platform work without substantial connector and API development
- Work that is mostly configuring an iPaaS rather than building connectors

How to apply for this opportunity?

- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers: Our goal is to make hiring reliable, easy, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

📌 Data Integration Engineer (Bengaluru)
🏢 Uplers
📍 Bengaluru