Sr Data Engineer – Research Data and Analytics

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.

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