Big Data Developer Lead

Company Name: AmeriHealth Caritas
Location: Philadelphia, PA
Date Posted: 21st Mar, 2017
  • Ensures Big data development adherence to principles and policies supporting the EDS
  • Able to design data solutions based on varying degrees of detail. Must be flexible and agile to achieve the expected results.
  • Design & Build consistent data solutions in a fast paced environment.
  • Educate, leverage and enhance the Data Lake to support Advanced Analytics & Innovation.
  • Translates business requirements into working features
  • Architect, design, develop, unit test, and document technical solutions
  • Mentors Big Data Developers on best practices and strategic development
  • Provides solutions to current (tactical) problems with permanent (strategic) answers
  • Carries out systematic problem identification, analysis, and resolution
  • Develops and documents technical design specifications
  • Leads technical meetings, as required
  • Conveys ideas clearly and tailors communication based on selected audience (technical and non-technical)
  • Effectively composes technical and non-technical documents such as design specifications, operation guides, process flows, and other technical schematics
  • Writes and updates task/project status and reports
  • Bachelor’s Degree or equivalent business experience in enterprise data and Big Data concepts and technology.
  • 4+ years working with and coding in Apache Hadoop, preferably with Cloudera’s distribution
    • Hadoop ecosystem (Hive, Impala, Flume, Sqoop, Hadoop APi, HDFS)
    • Basic Hadoop Administration experience
    • Experience with NoSQL
  • 3+ years in Health Care, Payer/Provider and/or Life Sciences
  • 3+ years Java experience
  • 6+ years working with relational databases (Sybase, Oracle and SQL Server)
  • Proficient in ETL, ELT, SQL and/or other data integration tools and manipulation languages a must.
  • Experienced in Shell scripting
  • Experience in both the creation and benefits of Data Flow Diagrams, Business and Process Modeling.
  • Hands-on experience with Linux considered a benefit.
  • Knowledge of SAS (Enterprise Guide (EG), Enterprise Business Intelligence (EBI) and Visual Analytics) would be considered a bonus.
  • Hands on experience with IBM DataStage, SSIS, SPARK, or Scala a plus
  • Knowledge of Health Information Exchange (HIE), a plus
  • Knowledge of Service Oriented Architecture (SOA), a plus
  • Knowledge of HL7 standards and/or ADT Clinical data, a plus
  • Ability to manage multiple tasks with multiple priorities in a fast paced environment
  • Effective with inter-personal communication and works well in team atmosphere.