Integration 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 in the Fortune 500.

Job Overview:

Maintaining & optimizing 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 Python, Cloud Dataflow, Cloud BigQuery, Cloud PubSub, Cloud Functions, Airflow.

Skill set:

• Programming Languages: Python (strong preference for LLM integration and scripting)
• Messaging Queues: Kafka
• Version Control: Git.
• CI/CD: Familiarity with CI/CD principles and tools for automated deployment.
• Containerization: Good to have Docker, Kubernetes (beneficial).
• Cloud Platforms: Google Cloud Platform (GCP) (Good to have)
• Data Technologies: SQL, ETL tools.

Responsibilities:

• Maintaining production data pipelines from ingestion to consumption within a hybrid big data architecture, using Python.
• Monitoring & Maintenance:

1. o Implement logging, monitoring, and alerting mechanisms to track the health and performance of integration pipelines.
2. Perform routine maintenance and updates to integration components.

Collaboration & Problem-Solving:

• Collaborate closely with the development team, LLM engineers, and software developers to define integration requirements and deliver effective solutions.
• Troubleshoot and resolve integration issues in a timely manner.
• Contribute to code reviews and ensure adherence to best practices in integration development.
• Provide on-call support during incidents

Desired Qualifications:

• Bachelor's degree preferred or equivalent work experience
• 3 - 5 years of engineering experience in, Data Analytics and Data Integration-related fields.
• 2 -3 years of experience writing Python, SQL queries, stored procedures, etc.
• Familiarity with Data Ingestion technologies like GCP DataFlow, and AirFlow.
• Agile development skills and experience.
• Experience with CI/CD pipelines such as Concourse, Jenkins
• Google Cloud Platform certification is a plus