Roles & Responsibilities:  

• Design, develop, and maintain full-stack applications supporting enterprise data processing and integration needs. 

• Build and optimize backend services and distributed data pipelines using Python and PySpark. 

• Develop responsive and user-friendly front-end applications using React JS, JavaScript, HTML, and CSS. 

• Design, develop, and maintain MuleSoft APIs, integrations, and orchestration flows. 

• Implement RESTful APIs and microservices for system-to-system communication. 

• Perform data transformation, validation, and reconciliation across integrated platforms. 

• Participate in integration design discussions including API-led connectivity and best practices. 

• Troubleshoot and resolve performance issues across applications and integration layers. 

• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions. 

• Contribute to CI/CD pipelines, deployment automation, and DevOps best practices. 

• Ensure solutions comply with Amgen SDLC, security policies, and quality standards. 

• Create and maintain technical documentation for application and integration architectures. 

Basic Qualifications and Experience: 

• Any degree with 5 - 9 years of experience in Computer Science, IT or related field OR  

Functional Skills: 
 

Must-Have Skills: 

• Strong experience in Python-based application development 

• Hands-on experience with PySpark for data processing 

• Front-end development experience using React JS, JavaScript, HTML, and CSS 

• Solid development experience in MuleSoft (API design, RAML, DataWeave, flow development, integrations) 

• Strong SQL skills and experience working with relational and/or analytical databases 

• Experience designing and consuming RESTful APIs 

• Understanding of data validation, reconciliation, and quality checks 

• Familiarity with cloud-based platforms and data solutions 

• Working knowledge of Agile/SAFe delivery methodologies 

• Strong problem-solving and debugging skills 

Good-to-Have Skills: 

• Experience with Java or Jira-based application development. 

• Experience developing dashboards and reports using Power BI. 

• Experience on Databricks for Data processing would be an added advantage. 

• Knowledge of Windows servers and Microsoft technologies. 

• Exposure to cloud platforms such as Azure, AWS, or GCP 

• Experience with CI/CD pipelines, logging, and monitoring tools 

• Familiarity with big data ecosystems and distributed processing frameworks 

Professional Certifications : 

• Relevant technical certifications (preferred, not mandatory). 

Soft Skills: 

• Strong analytical and troubleshooting abilities 

• Excellent verbal and written communication skills 

• Ability to collaborate effectively with global and cross-functional teams 

• High degree of initiative and self-motivation 

• Ability to manage multiple priorities and deliver results 

• Team-oriented mindset with a focus on quality and outcomes