Data Engineer - Platform

Framework (SAFe) Medical Data Analytics and Insights Product Team and primarily focus on delivering Analytics capabilities across Global Medical business organization. The selected individual will engage with business users, architect, validation engineers, platform teams, product owner and the members of development team to develop and deliver analytics needs and enhancements.

This role requires expertise in data integration solution delivery using different technology platforms like Databricks, Tableau, CI/CD, GitLab and AWS Services. Additionally, collaboration with various global teams is required to ensure seamless integration and Confidential Human Resources operational excellence. The ideal candidate will have a strong data integration background in the end-to-end software development lifecycle and be a Scaled Agile practitioner. This role demands the ability to drive and deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure.

Roles & Responsibilities:

• Function as a Digital Technology Data and Analytics Data Engineer within a Scaled Agile Framework (SAFe) product team

• As member of Global Medical Data and Analytics Product team, ensure progress to business needs in a cost effective, compliant, reliable way

• Use data, AI and metrics to understand trends in user behavior and product usage to influence strategy

• Integrate data and develop integration queries, ETL pipelines in Databricks datalake environment.

• Lead data analysis and insights user stories and utilize existing CI/CD delivery pipeline and processes - streamlining current processes with a focus on automation

• Communicate software and system designs using Miro, Lucid Chart, or other modeling tools and software.

• Develop Test classes and automation to validate business logic and avoid production issues

• Work closely with other developers in PRODUCT SCRUM team including business analyst, software engineers, Validation analyst and Product Owner

• Research AI/LLM based solutions and Drive Proof of Concepts to suit business requirements, Stay abreast of the latest trends in DevOps methodologies and emerging industry solutions

• Participate and develop business prioritized Data and Analytics matrix and user stories using Databricks environment

• Familiarity with AWS Services and other cloud technologies

• Develop technical design and business documentations for end users

• Developing a deep understanding of the product and the customer experience

• Talking to customers at pivotal points of the customer journey and distilling insights on what customers value most

• Debug and solve inbound customer challenges quickly and always to the customer's satisfaction.

Basic Qualifications

Master's degree and 2 years of Information Systems experience Or Bachelor's degree and 4 years of Information Systems experience.

Preferred Qualifications:

• 3+ years of experience in developing, implementing and supporting Data and Analytics Data Lake systems, analytics/reporting and metrics/visualization tools

• Experience using Databricks platform developing integration pipelines, SFDC APIs, REST based web services, SQL, XML, and JavaScript

• Extensive hands-on technical and engineering experience with building REACT based UI solutions

• Experience working in BI environments like Tableau / Power-BI etc.

• Experience developing in an enterprise environment with numerous applications, development teams, in an AGILE framework

• Understand AWS services, Security frameworks and AI/LLM base models

Functional Skills:

Must-Have Skills (Not more than 3 to 4):

• Ability to handle multiple projects simultaneously and prioritize tasks effectively

• Excellent problem-solving skills and a passion for tackling complex challenges

• Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team

• An ongoing commitment to learning and staying at the forefront of AI, Business Intelligence (BI)/ ML advancements.

Good-to-Have Skills:

• Hands-on technical development experience in delivering Data and Analytics projects in a fast-paced, multi-client environment

• Experience with technology systems: Veeva CRM, Content Management Systems (CMS), AWS, Google Analytics, Salesforce, etc

• Knowledgeable of analytics and design Principals

• SAFe Agile experienced

• Strong interpersonal and communication skills - Experience with Project management software including JIRA, Confluence, Smartsheet

• Experience managing between onshore/offshore development teams Confidential Human Resources

• Quick learner of existing and new AI/ML technologies and infrastructure - Experience operating in a regulated business environment and adhering to mandatory compliance requirements preferred

• Pharmaceutical experience preferred

Professional Certifications (please mention if the certification is preferred or mandatory for the role):

• SAFe for Teams certification (preferred)

• AWS Developer/User (preferred)

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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