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 maintaindata lake solutions for scientific data thatdrive business decisions for Research. You will build scalable and high-performance data engineering solutionsfor large scientific datasetsand collaborate with Research stakeholders.The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates strong technical skills, is proficient with big data technologies, and has a deep understanding of data architecture and ETL processes.
Roles & Responsibilities:
Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions
Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
Develop and maintain data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency
Optimizelarge 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 pipelines to meet fast paced business needs across geographic regions
Identify and resolve [complex] data-related challenges
Adhere to best practices for coding, testing, and designing reusable code/component
Explore 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, PostgreSQL)
Knowledge of cloud data platforms (AWS preferred)
Experience 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
Understanding 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.
Objects in your future are closer than they appear. Join us.
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.