Sr Data Engineer

Career Category

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.

What you will do

Job Description

As a Data Engineer, you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure 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 and ETL processes

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

• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions

• 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 Architects, Business SMEs, 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

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

• Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years of Computer Science, IT or related field experience.

Must-Have Skills:

• Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL),Snowflake, workflow orchestration, performance tuning on big data processing

• Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops

• Proficient in SQL, Python for extracting, transforming, and analyzing complex datasets from relational data stores

• Proficient in Python with strong experience in ETL tools such as Apache Spark and various data processing packages, supporting scalable data workflows and machine learning pipeline development.

• Strong understanding of data modeling, data warehousing, and data integration concepts

• Proven ability to optimize query performance on big data platforms

• Knowledge on Data visualization and analytics tools like Spotfire, PowerBI

Preferred Qualifications:

• Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing

• Knowledge of Python/R, Databricks, SageMaker, cloud data platforms

• Strong knowledge on Oracle / SQL Server, Stored Procedure, PL/SQL,

• Knowledge on LINUX OS

• Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.

• Skilled in developing machine learning models using Python, with hands-on experience in deep learning frameworks including PyTorch and TensorFlow.

• Strong understanding of data governance frameworks, tools, and best practices.

• Knowledge of vector databases, including implementation and optimization.

• Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)

Professional Certifications:

• Databricks Certificate preferred

• AWS Data Engineer/Architect

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

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.