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Data Engineers

Engineering - Framingham, Ma

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Description

Job Duties:
Gather requirements on data analytics, business intelligence, and machine learning by working with product groups and business users.  Research and evaluate new tools and modify existing software and systems to meet business requirements.  Conduct root cause analysis for performance and stability improvements.  Participate in code reviews to improve code quality.  Advance a sustainable big data computing platform capable of processing and analyzing large quantities of data.  Create and maintain Extraction/Transformation/Load (ETL) processes to distill all disparate company data sources into a single source of truth in the Data Warehouse.  Publish best practices around onboarding, maintenance, and development of our big data and ETL tools.  Bring software engineering quality and release controls to the big data team, including continuous delivery, quality assurance automation, code repository maintenance, environment separation, and system monitoring and alerting.  Integrate machine learning platforms to analyze large data sets and provide personalized feedback to platform users.  Apply knowledge of scientific computation and application of algorithms against health data sets.
 
Job Requirements:          
 
·        Master’s Degree in Bioinformatics.
·        Two (2) years of work experience with a full product delivery lifecycle as a Data or Software Engineer.
·        Two (2) years of experience with Amazon Big Data services including Redshift and S3.
·        Two (2) years of experience with an industry standard BI tool such as DOMO, Tableau, or Pentaho.
·        One (1) year of experience with a large scale ETL framework such as Pentaho or Airflow.

Virgin Pulse
492 Old Connecticut Path, Suite 601
Framingham, MA 01701

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