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
.
Collaborate with data scientists to develop pipelines that meet dynamic business needs
.
Share and discuss findings with team members practicing
SAFe
Agile delivery model.
Functional Skills:
Basic Qualifications:
Bachelor’s degree and
2
to
6
years of Computer Science,
IT
or related field experience
Preferred Qualifications:
Hands on
experience with data practices, technologies, and platforms, such as Databricks, Python, Gitlab,
LucidChart
,
etc
.
Proficiency
in 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
Knowledge of Python/R, Databricks, cloud data platforms
Experience working in Product team's environment
Experience working in an Agile environment
Professional
Certifications:
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 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
accommodation
.
.
