Career Category

Information Systems:

Job Description What you will do:

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 Py Spark, front-end application development using React JS, and enterprise integration development using Mule Soft.

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.

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 Py Spark.

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

• Design, develop, and maintain Mule Soft 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 Py Spark for data processing

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

• Solid development experience in Mule Soft (API design, RAML, Data Weave, 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

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