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
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.
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
.
