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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. In this vital role you will build and optimize our data infrastructure. As a key contributor, you will collaborate closely with cross-functional teams to design and implement robust data pipelines that efficiently extract, transform, and load data into our AWS-based data lake and data warehouse. Your expertise will be instrumental in empowering data-driven decision making through advanced analytics and predictive modeling.
Job Responsibility:
Develop and maintain back-end API using python, fastapi frameworks on Databricks platforms
Managing and maintaining the API in MuleSoft environments
Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring
Maintain system uptime and optimal performance
Working closely with cross-functional teams to understand business requirements and translate them into technical solutions
Exploring and implementing new tools and technologies to enhance ETL platform performance
Requirements:
Master’s degree
OR Bachelor’s degree and 2 years of data engineering experience
OR Associate’s degree and 6 years of data engineering experience
OR High school diploma / GED and 8 years of data engineering experience
Proficient in SQL for extracting, transforming, and analyzing complex datasets from both relational and columnar data stores. Proven ability to optimize query performance on big data platforms
Proficient in leveraging DataWeave to access and transform data across various formats (JSON, XML, CSV, etc.)
Proficient in leveraging Python, PySpark, and Airflow to build scalable and efficient data ingestion, transformation, and loading processes
Ability to learn new technologies quickly
Strong problem-solving and analytical skills
Excellent communication and teamwork skills
Nice to have:
Experienced with SQL/NOSQL database, vector database for large language models
Experienced with data modeling and performance tuning for both OLAP and OLTP databases
Experienced with Apache Spark, Apache Airflow
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
Experienced with AWS, GCP or Azure cloud services
Experienced with Java technology
Professional Certifications
AWS Certified Data Engineer preferred
Databricks Certificate preferred
Excellent analytical and troubleshooting skills
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation
Ability to manage multiple priorities successfully
Team-oriented, with a focus on achieving team goals
Strong presentation and public speaking skills
What we offer:
A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan