Career Category

Job Description

We are seeking a Sr Data Engineer to join our team to develop a data & analytics capability focused on integrated product surveillance. As part of this role, you will be designing and developing robust data models, data pipelines and data products as part of a product team of data scientists, business analysts, and software engineers. The team will rely on your expertise in automating the transformation and manipulation of data to generate insights on product complaints & adverse events for Amgen.

Responsibilities

• Determine which tools and architectures are available for pipeline development based on the data source format and current technologies
• Develop data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelines that enable model and product development
• Build data products and service processes which perform data transformation, metadata extraction, workload management and error processing management to ensure high quality data
• Collaborate with Data Scientists to normalize and clean data in order to produce robust and high-quality data assets
• Support Data Science team with model design by anticipating and engineering features needed to drive model development and insight generation
• Provide clear documentation for delivered solutions and processes, integrating documentation
• Ensure that data engineering applications are aligned with the overall architectural and development guidelines
• Identify and implement internal process improvements for data management (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability)
• Partner with business stakeholders and other technical team members to identify and acquire data sources that are most relevant to business needs and goals
• Demonstrate deep technical and domain knowledge in order to propose potential solutions
• Mentor junior data engineers on best practices in the industry and in the Amgen data landscape

Basic Qualifications

Doctorate degree 

OR 

Master’s degree and 3 years of Information Systems experience 

OR 

Bachelor’s degree and 5 years of Information Systems experience 

OR 

Associate degree and 10 years of Information Systems experience 

OR 

High school diploma / GED and 12 years of Information Systems experience

Minimum Qualifications:

• Min 5 years exp
• Hands on experience writing SQL using any RDBMS (Redshift, Postgres, MySQL, Teradata, Oracle, etc.).
• Experience with Spark, Hive, Kafka, Kinesis, Spark Streaming, and Airflow.
• Hands on experience using Databricks/Jupyter or similar notebook environment.

Preferred Qualifications:

• Experience working with teams of data scientists, software engineers and business experts to drive insights
• Strong understanding of relevant data standards and industry trends
• Ability to understand new business requirements and prioritize them for delivery
• Experience working in biopharma/life sciences industry
• Proficient in one of the coding languages (Python, Java, Scala)
• Experience with Schema Design & Dimensional data modeling.
• Experience with AWS Services such as EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway.
• Experience with software DevOps CI/CD tools, such Git, Jenkins, Linux, and Shell Script
• Experience working in an agile environment (i.e. user stories, iterative development, etc.)​
• Experience working with test-driven development and software test automation​
• Experience working in a Product environment

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by

discovering, developing, manufacturing and delivering innovative human therapeutics. Amgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people’s lives. A biotechnology pioneer since

1980, Amgen has grown to be one of the world’s leading independent biotechnology companies, has

reached millions of patients around the world and is developing a pipeline of medicines with breakaway

potential.