Sr Data Engineer

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 :

The role is 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 governance 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.

Note : The individual should also have an understanding of backend engineering concepts, including experience with backend frameworks, APIs, data pipelines, and system integration to support end-to-end data solutions.

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
• Apply backend engineering principles to design robust and efficient data systems supporting large-scale data processing.
• Develop and maintain RESTful APIs and microservices to enable seamless data access and integration across platforms.
• Utilize backend frameworks such as Python (Flask, FastAPI, Django), Java (Spring Boot), or Node.js (Express) to build and manage data services.
• 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
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
• 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 and Experience :

Functional Skills : Must-Have Skills :

Good-to-Have Skills :

Professional Certifications (Preferred) :

Soft 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.

Skills Required

Sql, Data Integration, Databricks, Big Data Technologies, Data Modeling, Microservices, Apache Spark, Pyspark, Sparksql, Data Warehousing, Etl Tools, Python, Restful Apis