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  • Cranberry Twp, PA

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Big Data Architect-24131

A-Line Staffing Solutions • Cranberry Twp, PA

Posted 29 days ago

Job Snapshot

Full-Time
Travel - Negligible
Experience - 12 years
Degree - 4 Year Degree
$125,000 - $150,000/Year
Healthcare - Health Services
Information Technology

Job Competition

7

Applicants

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Job Description

As a platform 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 and benchmarking across our customers.  Our solutions help to drive improved financial performance, compliance, and better patient outcomes.  Each day you will make a positive impact in healthcare, while working with latest technologies.

Responsibilities:

  • Defines technology roadmap in support of product development roadmap
  • Lead the design, architecture and development of multiple real time streaming data pipelines encompassing multiple product lines and edge devices
  • Ensure proper data governance policies are followed by implementing or validating data lineage, quality checks, classification, etc.
  • 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
  • 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
  • Conduct design and code reviews
  • Analyze and improve efficiency, scalability, and stability of various system resources
  • Operate within Agile Development environment and apply the methodologies
  • Track technical debt and ensure unintentional technical debt is not created
  • Recommends improvements to the software delivery cycle to help remove waste and impediments for the team
  • Drives, promotes and measures team performance against the sprint and project goal. 
  • Works with the team to continuously improve in development practices and process
  • Troubleshoots complex problems with existing or newly-developed software
  • Mentoring and coaching of Software Engineers

Job Requirements

Required Skills and Knowledge:

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

Basic Qualifications:

  • Bachelor’s Degree in Software Engineer 
  • 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
  • 4+ years’ experience developing with ingestion and clustering frameworks such as Kafka, Zookeeper, YARN
  • 4+ years’ experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
  • 2+ years’ experience with spark structured streaming
  • 4+ years’ experience with various messaging systems
  • 2+ years’ experience with Kafka
  • 1+ years of DevOps experience
  • 1+ years’ benchmarking experience

Preferred Experience:

  • Master Degree in Engineering/IT/Computer Science
  • 1+ years’ experience with DataBricks
  • 3+ 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.
  • 3+ Years’ DevOps experience in cloud technologies like AWS, CloudFront, Kubernetes, VPC, RDS, etc
  • Management of Spark or Hadoop clusters, with all included services
  • Experience Service Oriented Architecture (SOA) /microservices
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