Amgen
Biotechnology
AssociateDataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Associate Data Engineer at Amgen. Skills: Data Infrastructure, Data Architecture, ETL Processes, Cloud Platforms. Design data solutions. Develop data solutions”
Industry & Context.
problem-solving skills; analytical and troubleshooting skills; breaking down problems
What They're Looking For.
Must Have
Bachelor's degree, Computer Science, IT, SQL
Nice to Have
Databricks, Python, Gitlab, LucidChart, data analysis tools, data sourcing tools, data governance frameworks, data standards (FAIR), GDPR, CCPA, ETL tools, Python packages, data modeling, data warehousing, data integration concepts, Python/R, Databricks, cloud data platforms, Product team's environment, Agile environment
What You'll Do.
Design data solutions
Develop data solutions
Maintain data solutions
Develop data pipeline
Create data pipelines
Implement ETL processes
Understand data requirements
Develop data dictionaries
Maintain data dictionaries
Implement data security
Implement data privacy
Leverage cloud platforms
Build scalable solutions
Build efficient solutions
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; Collaborate with product teams; Collaborate with data scientists; Work effectively with global, virtual teams; Focus on achieving team goals
Communication Scope
verbal and written communication skills
Process & Methodology
SAFe Agile delivery model
Full Job Description
## **Career Category** Information Systems ## ## **Job Description** _ABOUT AMGEN_ Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. _ABOUT THE ROLE_ _Role Description:_ As part of the cybersecurity organization, the Data Engineer is responsible for designing, building, and maintaining data infrastructure to support data-driven decision-making. This role involves working with large datasets, developing reports, executing data governance initiatives, and ensuring 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, ETL processes, and cybersecurity data frameworks. _Roles & Responsibilities:_ * Design, develop, and maintain data solutions for data generation, collection, and processing. * Be a key team member that assists in design and development of the data pipeline. * Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems. * Schedule and manage workflows the ensure pipelines run on schedule and are monitored for failures. * Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs. * Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency. * Implement data security and privacy measures to protect sensitive data. * Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions. * Collaborate and communicate effectively with product teams. * Collabora
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