Duties:
- Identify and implement internal process improvements for data management (automating manual processes, optimizing data delivery, redesigning infrastructure for scalability)
- Collaborate with Product Owner, Release Train Engineer, and Scrum Master to plan and execute work
- Work with Data Architects to optimize the technical environment for reuse, agility, and performance
- Ensure data requirements for applications, data scientists, and cross-functional use cases are met
- Maintain high performance and reliability of the system
- Explore and understand new tools/techniques; propose improvements to existing and new data pipelines
- Collaborate cross-functionally with analysts, engineers, and data scientists to identify/prioritize requirements and clarify business objectives for data-centric solutions
- Assist with data discovery for enhancing reports and designing efficient data stores
Requirements:
- Masterβs degree (or foreign equivalent) in Computer Science, Information Systems, Software Engineering or related field, plus 2 years of experience in:
- Creating Data Quality dashboards and report results
- Coding in Python, Java, or Scala
- Writing SQL using RDBMS (Redshift, Postgres, MySQL, Teradata, or Oracle)
- CI/CD and DevOps tools (Git, Jenkins, Linux, or Shell Script)
- Databricks, Jupyter, or similar notebook environments
- Test-driven development or software test automation
Contact/Application:
- Apply via https://careers.amgen.com/en/search-jobs (Job # R-243903)
- Job type: Full Time
- Salary (U.S.): $138,325β$172,744 per year
- Offers stock, retirement, medical, life and disability insurance, and eligibility for an annual bonus or other incentive compensation (visit https://careers.amgen.com/life-at-amgen/benefits/)