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Software Engineer V Big Data, Cloud Temporary

Software Engineer V, Big Data

Omnicell has an opening for aSoftware Engineer V, Big Data to join our Software Development Team located in Pittsburgh, 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 software developer to join our team who has a passion for solving challenging problems and are team players that work hard to help the team succeed.

As a Performance Center team member, you will work 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 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 real-time streaming data pipelines working within the MapReduce ecosystem using Spark streaming
  • 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 Knowledge and Skills:

  • Proficient understanding of distributed computing principles
  • 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
  • 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
  • Ability to solve any ongoing issues with operating the cluster

Basic Qualifications:

  • Bachelor s degree required
  • 12+ years experience in software engineering with 2+ years using public cloud
  • 6+ Experience developing ETL processing flows using MapReduce technologies like Spark and Hadoop
  • 3+ years experience developing with ingestion and clustering frameworks such as Kafka, Zookeeper, YARN
  • 2+ years experience with building stream-processing systems using Spark-Streaming and spark structured streaming
  • 3+ years experience with various messaging systems, such as Kafka
  • 2+ years of DevOps experience

Preferred Qualifications:

  • Master Degree
  • 10+ years experience in software engineering
  • Demonstrable advanced knowledge of data architectures, data pipelines, real time processing, streaming, networking, and security
  • 1+ years experience with DataBricks
  • Demonstrated experience working in a cloud platform such as AWS, Microsoft Azure
  • Management of Spark or Hadoop clusters, with all included services
  • 1+ years experience with NoSQL databases, such as HBase, Cassandra, MongoDB
  • 1+ years experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
  • Demonstrable understanding of Service Oriented Architecture
  • 2+ years experience with Scala or Java Language as it relates to product development.

Work Conditions:

  • Office Environment


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