Senior Generative AI Data Engineer @ Amgen

Job Information

Job Description:

Key Responsibilities:

  • Work with the Agile Team, Product Owner, Release Train Engineer, and Scrum master to plan and execute work.
  • Work with Connected Data Architects to refine and optimize the technical environment for reuse, agility, and performance.
  • Ensure that the data requirements for applications, data scientists, and cross-functional use cases are met.
  • Ensure that performance and reliability of the solutions are high, and the GenAI contents are demonstrably accurate.

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’s degree and 10 years of information systems experience

Or

High school diploma / GED and 12 years of information systems experience

Preferred Qualifications:

  • 3+ years of experience in semantic data layers or data lake architectures
  • 3+ years of experience with one or more programming languages, such as Python, Scala, or Java.
  • 5+ Experience architecting and building ELT pipelines; Hands-on experience with SQL
  • Experience with Semantic Layer technologies such as RDF triplestores or graphs
  • Experience with data modeling, performance tuning, and relational and graph databases.
  • Hands-on development experience with Databricks and columnar data
  • Hands-on development experience with templating and transform frameworks, such as XSLT, Jinja, Mustache, or CSS
  • Experience with Software engineering best-practices, including but not limited to version control, CI/CD, and automated testing
  • Experience with AWS services: EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, and design patterns (Containers, Serverless, Docker, etc.)
  • Familiarity with Veeva or other Regulatory platforms in BioPharma

Benefits:
Experience Level: Senior
Work From: Onsite United States of America

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