Engineer IV, Software - Big Data
Omnicell is the world leader in pharmacy robotics, and we're expanding beyond inventory management into inventory analytics. The Performance Center tech-enabled service helps hospitals and health systems understand how meds flow through their business, from the loading dock to the nurse's 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 clinicians act on 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.
- 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
- 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
- Bachelor's 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
- Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
Preferred Knowledge and Skills:
- Master's 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 various messaging systems, such as Kafka or RabbitMQ
- Working knowledge of Databricks, Team Foundation Server, TeamCity, Octopus deploys and DataDog
- Corporate office/lab environment.
- Ability to travel 10% of the time.
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time
.All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability
.Omnicell will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information