#R-212034
ives, and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes.
You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative leverages state-of-the-art technologies, including Generative AI, structured content management, and integrated data to automate the creation, review, and approval of regulatory content.
Roles & Responsibilities:
Design, develop, and maintain solutions for data generation, collection, and processing.
Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions.
Build and maintain back-end services using languages like Python, Java, or Node.js that provide secure, reliable, and scalable access to Product Master Data.
Collaborate with the design and product teams to understand user needs and translate them into technical requirements.
Write clean, efficient, and well-tested code.
Participate in code reviews and provide constructive feedback.
Maintain system uptime and optimal performance
Learn and adapt to new technologies and industry trends
Collaborate and communicate effectively with product teams
Participate in sprint planning meetings and provide estimations on technical implementation
Basic Qualifications and Experience:
Bachelor's degree and 0 to 3 years of Computer Science, IT or related field experience OR
Diploma and 4 to 7 years of Computer Science, IT or related field experience
Functional Skills:
Must-Have Skills:
Hands on experience with web API development
Hands on experience with backend development, proficient with SQL/NoSQL database, proficient in Python and SQL
Ability to learn new technologies quickly. Strong problem-solving and analytical skills. Excellent communication and teamwork skills.
Good-to-Have Skills:
Strong understanding of data modeling, data warehousing, and data integration concepts
Professional Certifications:
Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)
Machine Learning Certification (preferred on Databricks or Cloud environments
Soft Skills:
Excellent analytical and troubleshooting skills
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation
Ability to manage multiple priorities successfully
Team-oriented, with a focus on achieving team goals
Strong presentation and public speaking skills
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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