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The Software Engineer designs, develops, and maintains scalable full-stack and integration solutions that support enterprise data processing, analytics, and system interoperability needs. This role focuses on backend development using Python and PySpark, front-end application development using React JS, and enterprise integration development using MuleSoft. The engineer will be responsible for building secure, high-performance APIs, developing data pipelines, and implementing integration workflows across systems. The role requires strong hands-on development experience, understanding of data architecture and integration patterns, and the ability to work in Agile delivery teams to deliver reliable, scalable, and compliant solutions.
Job Responsibility:
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
Requirements:
Any degree with 5 - 9 years of experience in Computer Science, IT or related field
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
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
Nice to have:
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