Role Overview :

Build and maintain backend services and ingestion pipelines supporting high-volume data intake, validation, transformation, and downstream integration. Deliver clean, tested, well-documented services that meet enterprise security and performance standards.

Responsibilities :

- Develop backend services and REST APIs in Python (FastAPI / Django or similar)

- Implement ingestion, validation, and transformation logic for bulk data processing

- Build and optimise data-processing routines (Pandas / Polars) over large datasets

- Integrate with relational stores, messaging, and external enterprise systems, including SAP (IDoc / OData / APIs)

- Implement a configurable business-rules layer and exception handling

- Write unit and integration tests

- Participate in code reviews and CI/CD

Tech Stack & Requirements :

- Total Experience : 3 - 5 years

- Strong Python development experience

- REST API design and async patterns

- Data-processing experience (Pandas / Polars); comfort with large-volume, batch workloads

- SQL (Azure SQL / PostgreSQL) and ORM

- Testing (pytest)

- Git-based CI/CD

- Nice to have : Azure (Container Apps / App Service, storage, messaging), SAP integration exposure

- Fluent English