Note: The job is a remote job and is open to candidates in USA. Cardinal Health's Data & Analytics Function manages analytic data platforms and reporting and business intelligence solutions to support business decisions. The Data Engineer on the Digital Solutions Finance team will design, develop, and maintain scalable data pipelines and architecture using Databricks and Google Cloud Platform, while collaborating with stakeholders to deliver reliable, secure, high-quality data solutions.
Responsibilities
- Design, build, and optimize scalable data pipelines using Databricks (Spark/Scala/Python) and Google Cloud Platform services (such as BigQuery, Cloud Storage, and Dataflow)
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality datasets
- Implement data quality checks, monitoring, and alerting mechanisms to ensure the accuracy, completeness, and reliability of data
- Participate in code reviews, technical design discussions, and establish best practices for data engineering within the team
- Perform performance tuning of key processes to optimize processing times and minimize cloud infrastructure costs
- Assist in migrating legacy data workflows to modern cloud platforms
- Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
- May contribute to the development of policies and procedures
- Works on complex projects of large scope
- Develops technical solutions to a wide range of difficult problems
- Solutions are innovative and consistent with organization objectives
- Completes work; independently receives general guidance on new projects
- Work reviewed for purpose of meeting objectives
- May act as a mentor to less experienced colleagues
Skills
- 4-8 years of experience, preferred
- Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
- Strong proficiency in SQL and at least one programming language (Python, Scala, or Java)
- Solid experience working within the Google Cloud Platform (Google Cloud Platform) ecosystem, particularly with BigQuery, Cloud Storage, and IAM
- Experience with data modeling, ETL/ELT processes, and data warehouse concepts
- Proven ability to work independently, manage multiple priorities, and deliver projects of varying difficulty
- Hands-on experience developing data solutions using Databricks, preferred
Benefits
- Medical, dental and vision coverage
- Paid time off plan
- Health savings account (HSA)
- 401k savings plan
- Access to wages before pay day with myFlexPay
- Flexible spending accounts (FSAs)
- Short- and long-term disability coverage
- Work-Life resources
- Paid parental leave
- Healthy lifestyle programs
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