Job
Description
Data Engineer What you will do Let’s do this. Let’s change the world. In this vital role you will serve a critical function within Organizational, Planning, Analytics & Insights with a goal of enterprise-wide, long-term workforce transformation by connecting people, financial, procurement & capability data to enable business insights & decisions. The Data Engineer will work with the Tech and Data lead for OPA&I and will be responsible for identifying requirements and building data analytics solutions and visualizations for OPA&I. Roles & Responsibilities: Understand, Connect & Integrate Data: Develop and maintain robust methods to connect data from various sources including HR, Finance, Procurement, and Activities. Ensure seamless integration and synchronization between systems and databases. Implement strategies and tools to efficiently manage and process structured and unstructured data. Establish and enforce data validation procedures to ensure data accuracy and consistency. Deliver Data Insights: Develop and implement interactive dashboards and visualizations to provide collaborators with easy access to workforce and financial planning insights. Collaborate with multi-functional teams to understand their data needs and tailor visual solutions accordingly. Apply advanced analytics, models, and GenAI solutions to uncover trends, patterns, and actionable insights. Present data findings in a clear and compelling manner that enhances decision-making. Integrate Business Processes with Data Systems Holistically Develop and deploy solutions that seamlessly support business workflows with data infrastructure. Consistently pursue enhancements to boost efficiency and alignment using data-driven approaches. Partner with business collaborators to advise on comprehensive solutions. Oversee projects aimed at improving data quality and operational performance within business processes. Guarantee consistency to data standards and maintain data integrity across all business systems. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of computer science or quantitative field experience OR Bachelor’s degree and 3 to 5 years of computer science or quantitative field experience OR Diploma and 7 to 9 years of computer science or quantitative field experience 2+ years of development experience with Databricks (or Snowflake), including cluster setup, execution, and tuning. Experience with other ETL tools like Alteryx is also acceptable. 2+ years of experience building ETL or ELT pipelines; Hands-on experience with SQL/NoSQL Experience with one or more programming languages, Python, R, SAS, Scala, or Java. Experience with common data processing librariesPandas, PySpark, SQLAlchemy. Experience building dashboards and end-user interfaces using visualization tools such as Power BI, Tableau and Spotfire Experience working with collaborators to define requirements and design data solutions Experience building data analytics and business intelligence solutions with financial and workforce data Experience performing exploratory and targeted data analyses using descriptive statistics and other methods. Preferred Qualifications: Experience with NLP or GenAI tools like OpenAI. Experience with software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Conceptual understanding of DevOps tools (Ansible/ Gitlab CI/CD / GitHub / Docker /Jenkins) Experience working in Agile-based teams Experience with R/Python-based visualization frameworks such as Shiny, Dash, Streamlit Professional Certifications: Databricks (preferred) Tableau/Power BI/Alteryx (preferred) Soft Skills: 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 you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
