Data Engineer – Data Engineering
| Company | Cardinal Health |
|---|---|
| Location | Dublin, OH, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree preferred or equivalent work experience
- 5+ years of engineering experience in Big Data systems, 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
- Hands-on experience with Data Ingestion technologies like GCP DataFlow, Kafka 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
- Knowledge to Terraform is a plus
- Google Cloud Platform certification is a plus
Responsibilities
- Designing and implementing data ingestion and curation functions on GCP cloud using GCP native or custom programming
- Designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Python, Java etc.
- Optimizing data pipelines for performance and cost for large scale data lakes
Preferred Qualifications
- Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply