Senior Python Developer
3 days ago
About the Role
We are seeking a highly skilled Senior Python Developer to join the Smart Onboarding initiative at inriver, a leading provider of product information management (PIM) solutions. This role is pivotal in designing and implementing backend services that streamline and automate the onboarding of product data from diverse sources into the inriver platform.
Will work closely with cross-functional teams including product managers, solution architects, and data engineers to build robust, scalable, and intelligent onboarding workflows.
Key Responsibilities
- Design and develop Python-based microservices and APIs for the Smart Onboarding platform.
- Implement data ingestion pipelines that handle structured and unstructured product data from external systems.
- Collaborate with integration teams to ensure seamless connectivity with ERP, DAM, and e-commerce platforms.
- Optimize performance of onboarding workflows using asynchronous processing, caching, and efficient data structures.
- Ensure code quality through unit testing, code reviews, and adherence to best practices.
- Contribute to architectural decisions and help define technical standards for the onboarding framework.
- Monitor and troubleshoot production issues, ensuring high availability and reliability of services.
- Mentor junior developers and contribute to a culture of continuous improvement.
Required Qualifications
- 5+ years of professional experience in Python development, preferably in SaaS or enterprise software.
- Strong understanding of RESTful APIs, data modeling, and ETL processes.
- Experience with cloud platforms (e.g., Azure, AWS) and containerization (Docker, Kubernetes).
- Familiarity with CI/CD pipelines, Git, and agile development methodologies.
- Knowledge of data validation, schema mapping, and metadata enrichment.
- Excellent problem-solving skills and ability to work independently in a fast-paced environment.
Preferred Skills
- Experience with PIM systems, especially inriver.
- Knowledge of machine learning or rule-based engines for intelligent data onboarding.
- Exposure to event-driven architectures and message queues (e.g., Kafka, RabbitMQ).
- Understanding of product taxonomy, digital commerce, and data governance.
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