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Omnicell Careers

Omnicell

Inspired by Care

Since 1992, Omnicell (NASDAQ: OMCL) has been inspired to create safer and more efficient ways to manage medications and supplies across all care settings. As a leader in medication and supply dispensing automation, central pharmacy automation, IV robotics, analytics software, and medication adherence and packaging systems, Omnicell is focused on improving care across the entire healthcare continuum—from the acute care hospital setting, to post-acute skilled nursing and long-term care facilities, to the patient’s home.

Over 4,000 customers worldwide use Omnicell® automation and analytics solutions to increase operational efficiency, reduce medication errors, deliver actionable intelligence and improve patient safety.

Omnicell’s innovative medication adherence solutions, used by over 32,000 institutional and retail pharmacies in North America and the United Kingdom, are designed to improve patient adherence to prescriptions, helping to reduce costly hospital readmissions.

Recent Omnicell acquisitions, including Ateb, add distinct capabilities, particularly in central pharmacy, IV robotics, and pharmacy software, creating the broadest medication management product portfolio in the industry.


Software Engineer V – Big Data, Cloud


Description

 

Software Engineer V – Big Data, Cloud

Omnicell has an opening for a Big Data Engineer to join our Software Engineering Team located in Cranberry Township, PA.  We are focused on making a difference in healthcare and developing solutions that will help shape the future of medication management.  Our team thrives on the spirit of innovation and is dedicated to solving our customers most pressing needs.  We are looking for an enthusiastic experienced team oriented Big Data Engineer who has a passion for data and creating insightful analytics so that we can transform healthcare in the US.

As a Performance Center team member, you will work hard with a team of engineers on our cloud data platform that streams data from a variety of health care software and hardware systems in real-time to creeate transformational recommendations for our customers.  Our solutions help to drive improved financial performance, compliance, and better patient outcomes.  Each day you will make an impact.

Responsibilities:

  • Defines technology roadmap in support of product development roadmap
  • Architects complex solutions encompassing multiple product lines
  • Provides technical consulting to multiple product development teams
  • Develop custom batch-oriented and real-time streaming data pipelines working within the MapReduce ecosystem, migrating flows from ELT to ETL
  • Ensure proper data governance policies are followed by implementing or validating data lineage, quality checks, classification, etc.
  • Act in a technical leadership capacity: Mentor junior engineers and new team members, and apply technical expertise to challenging programming and design problems
  • Resolve defects/bugs during QA testing, pre-production, production, and post-release patches
  • Have a quality mindset, squash bugs with a passion, and work hard to prevent them in the first place through unit testing, test-driven development, version control, continuous integration and deployment.
  • Ability to lead change, be bold, and have the ability to innovate and challenge status quo
  • Be passionate about solving customer problems and develop solutions that result in a passionate customer/community following
  • Conduct design and code reviews
  • Analyze and improve efficiency, scalability, and stability of various system resources
  • Contribute to the design and architecture of the project
  • Operate within Agile Development environment and apply the methodologies

Required Skills and Knowledge:

  • Advanced knowledge of data architectures, data pipelines, real time processing, streaming, networking, and security
  • Proficient understanding of distributed computing principles
  • Good knowledge of Big Data querying tools, such as Pig or Hive
  • Good understanding of Lambda Architecture, along with its advantages and drawbacks
  • Proficiency with MapReduce, HDFS
  • Experience with integration of data from multiple data sources

Basic Qualifications:

  • Bachelors Degree in Computer Science, Engineering, or Information Technology
  • 12+ years experience in software engineering
  • Experience developing ETL processing flows using 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
  • Experience with various messaging systems, such as Kafka or RabbitMQ

Preferred Experience:

  • Experience with DataBricks and Spark
  • Ability to solve any ongoing issues with operating the cluster
  • Management of Spark or Hadoop clusters, with all included services
  • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
  • Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
  • Understanding of Service Oriented Architecture
  • Technical writing, system documentation, design document-management skills

 

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.





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