Amgen
From Amgen's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
ABOUT THE ROLE Role Description: We seek a skilled Data Engineer to build and optimize our data infrastructure.
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.
We seek a skilled Data Engineer to 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.
Building and optimizing data pipelines, data warehouses, and data lakes on the AWS and Databricks platforms.
Managing and maintaining the AWS and Databricks 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.
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 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.
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 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
5 to 9 years of experience and Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered
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
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