Data Integration Engineer

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, simple, 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!

Work arrangement
No