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Cardinal Health

Integration Engineer

Posted 4 Hours Ago
Be an Early Applicant
IND
Mid level
IND
Mid level
The Integration Engineer will maintain and optimize enterprise data solutions on Google Cloud, develop cloud applications, manage integration pipelines, and collaborate with other teams to address integration issues.
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 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 (Good To have)
  • Messaging Queues: Kafka (Good to Have)
  • 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), Azure, AWS (Must Have)
  • Data Technologies: SQL, ETL tools (Good to Have)

Responsibilities:

  • Design and develop scalable, secure, and reliable cloud-based applications and services. 
  • Implement and maintain automation for cloud infrastructure and CI/CD pipelines using tools like Jenkins, Terraform, and scripting languages (Python, Go, Bash). 
  • Maintaining production data pipelines from ingestion to consumption within a hybrid big data architecture, using Python.
  • Monitoring & Maintenance: Implement logging, monitoring, and alerting mechanisms to track the health and performance of integration pipelines.
  • 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 Cloud Development and Cloud Integration-related fields.
  • 2 -3 years of experience in deploying code to cloud environments, troubleshoot performance and operational issues.
  • 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

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.

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Top Skills

Airflow
Cloud Bigquery
Cloud Dataflow
Cloud Functions
Cloud Pubsub
Docker
Etl Tools
Git
Google Cloud Platform
Jenkins
Kafka
Kubernetes
Python
SQL
Terraform

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