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:
In this role, you will
design,
build
and
maintain
data lake solutions for scientific data that
drive business decisions for Research. You will
build
scalable and high-performance
data engineering solutions
for
large scientific datasets
and collaborate with Research stakeholders.
The ideal candidate
possesses
experience in the pharmaceutical
or
biotech industr
y
,
demonstrates
strong technical skills, is proficient with big data technologies, and has a deep understanding of data architecture and ETL processes.
Roles & Responsibilities:
D
esign, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions
Take ownership of data pipeline projects from
inception
to deployment, manag
e
scope, timelines, and risks
Develop and
maintain
data models
for
biopharma
scientific data
, data dictionaries, and other documentation to ensure data accuracy and consistency
Optimize
large datasets
for query performance
Collaborate with
global
cross-functional teams
including research scientists
to understand data requirements and design solutions that meet business needs
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Collaborate with Data Architects, Business
SMEs
,
Software
Engineers
and Data Scientists to design and develop end-to-end data pipeline
s
to meet fast paced business need
s
across geographic regions
Identify
and resolve
[
complex
]
data-related challenges
Adhere to best practices for coding, testing
,
and designing reusable code/component
E
xplore new tools
and
technologies that will help to improve ETL platform performance
Participate in sprint planning meetings and provide estimations on technical implementation
Maintain comprehensive documentation of processes, systems, and solutions
Basic Qualifications and Experience:
Doctorate Degree OR
Master’s degree with 4 - 6 years of experience in
Computer Science, IT
, Computational Chemistry, Computational Biology/
Bioinformatics
or related field
OR
Bachelor’s degree with 6 - 8 years of
experience
in
Computer Science, IT
, Computational Chemistry, Computational Biology/
Bioinformatics
or related
field
OR
Diploma with 10 - 12 years of experience in
Computer Science, IT
, Computational Chemistry, Computational Biology/
Bioinformatics
or related field
Preferred Qualifications and Experience:
3+ years of experience in implementing and supporting biopharma scientific research data analytics (software platforms)
Functional Skills:
Must-Have Skills:
Proficiency
in
SQL and
Python for data engineering, test automation frameworks (
pytest
), and scripting tasks
Hands on experience with
big data technologies and platforms
, such as Databricks, Apache Spark (
PySpark
,
SparkSQL
)
, workflow orchestration, performance tuning on big data processing
Excellent problem-solving skills and the ability to work with large, complex datasets
Good-to-Have Skills:
A passion for tackling complex challenges in drug discovery with technology and data
Strong understanding of data modeling, data warehousing, and data integration concepts
Strong experience using RDBMS
(
e.g.
Oracle,
MySQL
, SQL server
, Postgre
SQL
)
Knowledge of cloud data platforms
(AWS preferred)
E
xperience with data visualization tools
(e
.
g.
Dash,
Plotly
, Spotfire
)
Experience
with
diagramming and
collaboration tools such as
Miro,
Lucidchart
or similar tools for process mapping and brainstorming
Experience
writing and
maintaining
technical documentation in Confluence
U
nderstanding of data governance frameworks, tools, and best practices
Professional Certifications:
Databricks Certified Data Engineer Professional
preferred
Soft Skills:
Excellent
critical-thinking and
problem-solving skills
Strong communication
and collaboration skills
Demonstrated awareness of how to function in a team setting
Demonstrated presentation 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
.
Apply now for a career that defies imagination
Objects in your future are closer than they appear. Join us.
careers.amgen.com
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided 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.
.
