Senior Data Integration Engineer
**** Location:Pune, India or Remote for Rest of India Candidates ****
We are looking for a Senior Data Integration Engineer to design and operate secure, scalable data integrations that power analytics and AI platforms across the organization.
This role plays a critical part in building a governed middleware and integration layer that connects enterprise systems such as Salesforce, Finance platforms, product systems, and cloud data warehouses.
If you enjoy building high-volume data pipelines, API platforms, and enterprise integrations, this could be a great opportunity.
Key Responsibilities
API & Integration Engineering
- Design and develop REST/SOAP APIs for internal and external integrations
- Implement secure authentication mechanisms including OAuth 2.0, JWT, API Keys, and SSO
- Build event-driven and asynchronous integrations using CDC, webhooks, and messaging systems
- Manage API lifecycle including monitoring, scalability, and performance optimization
Enterprise Data Integration
- Build high-volume ETL and near real-time data pipelines using middleware platforms such as Boomi, MuleSoft, or Workato
- Design ingestion pipelines into AWS Redshift and enterprise data platforms
- Implement transformation logic for structured and semi-structured data (JSON/XML)
- Ensure data reliability through idempotency, reconciliation, monitoring, and alerting mechanisms
AI Data Enablement
- Deliver curated and governed datasets that power enterprise AI platforms
- Support AI and analytics tools by ensuring consistent and trusted data definitions
- Enable reliable data consumption for AI platforms like Claude, Copilot, or Agentforce
Required Skills
- Strong experience building enterprise integrations and API platforms
- Expertise in Boomi, MuleSoft, Workato, or similar middleware platforms
- Deep knowledge of REST, SOAP, JSON, XML
- Experience integrating Salesforce with external enterprise systems
- Strong SQL and data modeling skills
- Experience working with AWS Redshift or cloud data warehouses
- Exposure to event-driven architectures and streaming systems
- Familiarity with CI/CD and DevOps practices
Nice to Have
- Experience with AI / analytics platforms
- Exposure to modern data architecture and semantic layers
- Cloud certifications (AWS / Azure / GCP)
