Omnicell is the world leader in pharmacy robotics and were expanding beyond inventory management into inventoryanalytics. The Omnisphere helps hospitals and health systems understand how meds flow through their business from the loading dock to the nurses glove and then apply clinical expertise and advanced machine learning to uncover opportunities to adjust that flow to improve safety cost efficiency and patient outcomes. And the next step for us is to help busy cliniciansacton those opportunities by building efficient industry-leading workflows.
To do that we take terabytes of data from thousands of devices and translate it to simple actionable steps our clients can take to improve their overall performance. This is achieved through a sleek new microservices architecture primarily composed of Kafka Spark PostgreSQL .NET Core and Angular all running in AWS.
Responsibilities:
Translate business requirements into effective technology solutions
Help lead the design architecture and development of the Omnicell Data Platform
Conduct design and code reviews
Resolve defects/bugs during QA testing pre-production production and post-release patches
Analyze and improve efficiency scalability and stability of various system resources once deployed
Provide technical leadership to agile teams onshore and offshore: Mentor junior engineers and new team members and apply technical expertise to challenging programming and design problems
Help define the technology roadmap that will support the product development roadmap
Continue to improve code quality by tracking reducing and avoiding technical debt
Analyze performance and cost of data processing
Integrate new technologies into the data platform and new features of Databricks/Spark
Focus on always putting the customer first.
Required Knowledge and Skills
Deep development experience of distributed/scalable systems and high-volume transaction applications participating in architecting big data projects
Hands-on programming experience in Scala Python and other object-oriented programming languages.
Expert in using Big data technologies like Apache Kafka Apache Spark Real Time streaming Structured Streaming Delta lake
Excellent analytical and problem-solving skills.
Energetic motivated self-starter that is eager to excel with excellent inter-personal skills.
Expert in knowing a balance driving the right architecture but realizing the realities of having customers and the need to ship software
Basic Requirements:
Education:
Bachelors degree preferred; may consider relevant experience in lieu of a degree
8 years experience in software engineering with a degree; 12 years experience in software engineering in lieu of a degree
Experience developing ETL processing flows with MapReduce technologies like Spark and Hadoop
Experience developing with ingestion and clustering frameworks such as Kafka Zookeeper YARN
Preferred Knowledge and Skills:
Masters degree
Hands-on working experience in cloud infrastructure like AWS. Able to scale cade and deploy applications in the public cloud using technologies like AWS Lambda Docker Kubernetes.
Experience with Big Data ML toolkits such as Mahout SparkML or H2O
Experience working with healthcare specific data exchange formats including HL7 and FHIR.
Experience with building stream-processing systems using solutions such as Storm or Spark-Streaming
Experience with various messaging systems such as Kafka or RabbitMQ
Working knowledge of Databricks Team Foundation Server TeamCity Octopus deploys and DataDog
Work Conditions:
Team collaboration hours are between 8am and 4pm EST.
Remote environment.
Ability to travel 10% of the time.
Additional Requirements
Legally authorized to work in the United States without Omnicell sponsorship now or in the future
Ability to pass background and employment verification checks
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