Senior Data Engineer Position Available In Kennebec, Maine
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Job Description
Senior Data Engineer at Cardinal Health in Augusta, Maine, United States Job Description Headquartered in Dublin, Ohio, Cardinal Health, Inc. (
NYSE:
CAH) is a global, integrated healthcare services and products company, providing customized solutions for hospitals, health systems, pharmacies, ambulatory surgery centers, clinical laboratories and physician offices worldwide. The company provides clinically proven medical products and pharmaceuticals and cost-effective solutions that enhance supply chain efficiency from hospital to home. Cardinal Health connects patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with approximately 50,000 employees in 46 countries, Cardinal Health ranks among the top 20 on the Fortune 500.
Department Overview:
At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are currently hiring for a Senior Data Engineer within Navista – Data & Advanced Analytics team to support the growth of our Navista Application Suite and the Integrated Oncology Network (IoN).
Job Overview:
As a Senior Data Engineer, you will help define and implement multi-cloud-based infrastructure for Data Lake, Analytics and Machine Learning initiatives. In this critical role, primary focus is to architect, implement and operationalize large-scale enterprise data platforms, and solutions leveraging one or more of Google Cloud Platform technologies like BigQuery, Cloud Dataflow, Cloud DataProc, Cloud PubSub, Cloud Functions, Airflow. As a primary subject matter expert, you will be implementing and providing consultation services and leading various build and operations teams to productionize Big Data and Analytics workloads. You will build solutions that ingest, store and distribute our big data to be consumed by data scientists, data analysts and front end applications. You will leverage emerging cloud technologies to build Data Platforms and Pipelines at enterprise scale to support Analytics and ML/AI solutions. All this while leveraging agile DevSecOps (DataOps, MLOps) practices, and automation to enable speed, quality, and provide a seamless
