Associate Data Engineer – R&D Omics

Career Category

Information Systems

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission, to serve patients living with serious illnesses, drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Associate Data Engineer – R&D Omics

What you will do

Let’s do this. Let’s change the world. In this vital 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 industry, demonstrates strong technical skills, has experience with big data technologies, and understands data architecture and ETL processes.

Roles & Responsibilities:

Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions

Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks

Contribute to 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 pipelines to meet fast paced business needs across geographic regions

Identify and resolve 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 documentation of processes, systems, and solutions

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

Bachelor’s degree with 2 to 6 years of Computer Science, IT or related field experience

Preferred Qualifications:

1+ years of experience in designing and supporting biopharma scientific research data analytics (software platforms)

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

Solid understanding of data modeling, data warehousing, and data integration concepts

Solid 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

Professional Certifications:

Databricks Certified Data Engineer Professional preferred

Soft Skills:

Strong learning agility, ability to pick up new technologies used to support early drug discovery data analysis needs

Collaborative with good communication skills.

High degree of initiative and self-motivation.

Ability to handle multiple priorities successfully.

Team-oriented with a focus on achieving team goals.

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now and make a lasting impact with the Amgen team.

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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