Sr. Associate Data Engineer

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier,fullerand longer. We discover, develop,manufactureand deliver innovative medicines to help millions of patients. Amgen helpedestablishthe biotechnology industry more than 40 years ago andremainson thecutting-edgeof innovation, using technology and human genetic data to push beyondwhat’sknown today.

ABOUT THE ROLE

Role Description:

As part of thecybersecurityorganization, the Data Engineeris responsible fordesigning, building, andmaintainingdata 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.Therole sits at the intersection of data infrastructure and business insight delivery, requiringthe Data Engineer todesign and build robust data pipelines while also translating data into meaningful visualizations for stakeholders across the organization.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, andmaintaindata solutions for data generation, collection, and processing.

  
  

• Be a key team member thatassistsindesignand development of the data pipeline.

  
  

• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems.

  
  

• Develop andmaintaininteractive dashboards and reports using tools like Tableau, ensuring data accuracy and usability

  
  

• Schedule and manage workflowsthe ensurepipelines run on schedule and aremonitoredfor failures. 

  
  

• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.

  
  

• Develop andmaintaindata 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.

  
  

• Collaborate with data scientists to develop pipelines that meet dynamic business needs.

  
  

• Share and discuss findings with team members practicingSAFeAgile delivery model.

  
  

Functional Skills:

Basic Qualifications:

• Master’s degree OR Bachelor’s degree and 5 to 9 years of Computer Science,ITor related field experience  

  
  

Preferred Qualifications:

• Hands onexperience with data practices, technologies, and platforms, such as Databricks, Python, Gitlab,LucidChart,etc.

  
  

• Proficiencyin data analysis tools (e.g.SQL) and experience with data sourcing tools 

  
  

• Excellent problem-solving skills and the ability to work with large, complex datasets 

  
  

• Understanding of data governance frameworks, tools, and best practices

  
  

• Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA) 

  
  

Good-to-Have Skills:

• Experience with ETL tools and various Python packages related to data processing, machine learning model development 

  
  

• Strong understanding of data modeling, data warehousing, and data integration concepts 

  
  

• Experience with data visualization and dashboarding tools—Tableau, Power BI, or similar is a plus

  
  

• Knowledge of Python/R, Databricks, cloud data platforms 

  
  

• Experience working in Product team's environment

  
  

• Experience working in an Agile environment

  
  

ProfessionalCertifications:

• AWS Certified Data Engineer preferred

  
  

• Databricks Certificate preferred

  
  

Soft Skills:

• Initiative to explore alternate technology and approaches to solving problems

  
  

• Skilled in breaking down problems, documenting problem statements, and estimating efforts

  
  

• 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

  
  

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 toparticipatein the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to requestaccommodation.