Data Engineer

At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980, weve helped pioneer the world of biotech in our fight against the worlds 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, youll 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, youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

What you will do

Lets do this. Lets change the world. In this vital role 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 initiativesand, 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

• 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

• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks

• 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

Basic Qualifications:

• Masters degree and 1 to 3 years of Computer Science, IT or related field experience OR

• Bachelors degree and 3 to 5 years of Computer Science, IT or related field experience OR

• Diploma and 7 to 9 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), workflow orchestration, performance tuning on big data processing

• Proficiency in data analysis tools (eg. SQL)

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

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development

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

• Proven ability to optimize query performance on big data platforms

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, cloud data platforms

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

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

Professional Certifications:

• AWS Certified Data Engineer preferred

• Databricks Certificate 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

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, well support your journey every step of the way.