Data Engineer
Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE : CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500.
Department Overview :
augmented Intelligence () builds automation, analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies and revenue growth opportunities. The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities.
Job Overview :
Designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Google Cloud Platform data and analytics and Migrating from legacy Analytics platforms to Google Cloud. Usage of services in combination with technologies like Spark, Cloud DataProc, Cloud Dataflow, Apache Beam, Cloud BigQuery, Cloud PubSub, Cloud Functions, Airflow.
Responsibilities :
Desired Qualifications :
Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.
Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity / expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.