Job description
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.
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 Cloud Dataflow, Cloud BigQuery, Cloud
- PubSub, Cloud Functions, Airflow.
- Responsibilities:
- Designing and implementing data transformation, ingestion and curation functions on GCP cloud using GCP.
- Designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Python.
- Optimizing data pipelines for performance and cost for large scale data lakes
Desired Qualifications:
- Bachelor's degree preferred or equivalent work experience
- 5+ years of engineering experience in , Data Analytics and Data Integration related fields.
- 3+ years of experience writing complex SQL queries, stored procedures, etc
- 1+ years of hands-on GCP experience in Data Engineering and Cloud Analytics solutions
- Prior experience in design of Dataware house and BI Data Models.
- Hands-on experience with Data Ingestion technologies like GCP DataFlow, and AirFlow
- Experience in designing and optimizing data models on GCP cloud using GCP data stores such as BigQuery
- Agile development skills and experience.
- Experience with CI/CD pipelines such as Concourse, Jenkins
- Google Cloud Platform certification is a plus
