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 IV, Big Data Cloud


Description

 

Software Engineer, IV, Big Data

Omnicell has an opening for a Software Engineer IV 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 customer’s most pressing needs.  We are looking for an enthusiastic, experienced team-oriented Software 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 healthcare  software and hardware systems in real-time to create 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:

  • 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
  • Possess 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.
  • 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 Knowledge and Skills:

  • 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
  • Ability to solve any ongoing issues with operating the cluster
  • Ability to lead change, be bold, and have the ability to innovate and challenge the status  quo
  • Passionate about solving customer problems and develop solutions that result in a passionate customer/community following

Basic Qualifications:

  • Bachelor’s degree in Engineering/IT/Computer Science
  • 6+ years’ experience in software engineering
  • 2+ years experience:
    •  developing ETL processing flows using MapReduce technologies like Spark and Hadoop
    • In  Software Design
  • 1+ years’ experience:
    •  developing with ingestion and clustering frameworks such as Kafka, Zookeeper, YARN
    • building stream using Spark-Streaming
    • with  various messaging systems, such as Kafka or RabbitMQ
  • Experience with integration of data from multiple data sources
  • Experience leading projects or teams

Preferred Qualifications:

  • Master Degree in Engineering/IT/Computer Science
  • 8+ years’ experience in software engineering
  • 1+ years’ experience with:
    • DataBricks and Spark
    • NoSQL databases, such as HBase, Cassandra, MongoDB
    • Big Data ML toolkits, such as Mahout, SparkML, or H2O
  • 2+ years’ experience with Scala or  Java Language as it relates to product development.
  • Management of Spark or Hadoop clusters, with all included services
  • Experience Service Oriented Architecture ( SOA) /microservices
  • Demonstrable advanced knowledge of data architectures, data pipelines, real-time  processing, streaming, networking, and security

Work Conditions:

Office Environment

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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