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Software Engineer V - Big Data, Cloud

Software Engineer, V, Big Data
Omnicell has an opening for a Software Engineer V 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
8+ years' experience in software engineering
3+ years experience developing ETL processing flows using MapReduce technologies like Spark and Hadoop software Design
2+ years' experience in Software Design with various messaging systems, such as Kafka or RabbitMQ
1+ years' experience developing with ingestion and clustering frameworks such as Kafka, Zookeeper, YARN
building stream using Spark-Streaming
Experience with integration of data from multiple data sources
Experience leading projects or teams
Preferred Qualifications:
Master Degree in Engineering/IT/Computer Science
10+ years' experience in software engineering
1+ years' experience with DataBricks and Spark
2+ years experience:
NoSQL databases, such as HBase, Cassandra, MongoDB
Big Data ML toolkits, such as Mahout, SparkML, or H2O
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



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