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15 Jul 2019

Full-Time Data Engineer / Sr Data Engineer – Will Sponsor Metrowest

Brian Leary Anywhere

Job Description

Data Engineer

Are you a motivated data engineer that can thrive in a team environment? Are you experienced in building systems and want your input to matter? Our client offers a fast-paced, team-oriented feel, along with amazing training opportunities and competitive salary and benefits packages to help you succeed.

Responsibilities:

  • Perform data engineering tasks using PySpark to aggregate multiple data sources into a centralized repository on AWS
  • Maintain and improve machine learning models and PySpark based personalization/assignment/measurement tools
  • Develop new features, augment tools and create new models based on business requirements

Qualifications:

  • Data Engineering & data flow pipelines (experience as a builder of new systems)
  • experience designing, executing, & measuring experiments
  • Software engineering skills (Pull requests, unit testing, automated model tests, etc.)
  • experience creating experiment results visualizations/reports & applying results to drive business value
  • Statistics knowledge (e.g. parametrized vs non-parametrized tests)
  • modeling experience preferred (Uplift modeling, propensity score matching, Linear/Logistic Regression and other supervised and unsupervised algorithms)
  • Languages/Tools
  • Python (pandas, numpy)
  • SQL (analytic functions, subqueries, etc.)
  • Git & Github
  • Spark (using pySpark)
  • Visualization (e.g. Tableau)
  • Hadoop: AWS EMR (Debian), Hive

Job Categories: Open. Job Types: Full-Time. Salaries: 140-160k.

Endless.

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