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Data Engineer

Function: Merchandising/Buying
Location: Staples Corporate Center, Framingham, MA US
Date posted: 2/21/2018 1:00:51 PM
Type: Full-time
Permanent / Contract: Regular
Job number: 1041118

The Data Engineer, Merchandising Pricing role is part of the data science team and is responsible for building big data tools and frameworks to power data science products and drive innovation in pricing and promotions space at Staples. Primary focus will be product-oriented, from requirements gathering to design, development, testing and operationalization.


Primary Responsibilities

  • Designing distributed engineering systems to support data science initiatives including descriptive, predictive, and prescriptive analytics
  • Assess, document, and translate goals and problem statements into use cases for engineering development and implementation
  • Monitoring and optimizing performance, provide necessary production support


Required Skills

  • BS or higher in Computer Science / Software Engineering
  • 4+ years software development experience, preferable in data analytics/science space
  • Good knowledge of Big Data frameworks, concepts, and tools such as Hadoop, Spark, Hive
  • Hands-on experience with object oriented design, service oriented architecture, open source technologies, and Linux operating system Language / Tools / API
  • Experience with Python, Java/J2EE, Bash, Linux/Unix, Git
  • Experience in designing and querying SQL databases such as PostgreSQL, MySQL & Oracle
  • Great written/oral communication

Preferred Skills:

  • Knowledge and experience in: Big Data ML toolkits, such as Mahout, SparkML, or H2O, Cloud computing ecosystems including Amazon Web Services, BigQuery, Azure, etc. Experience in SAS, R a plus
  • Experience in designing and querying NoSQL databases such as Couchbase, Neo4j, etc.
  • Experience with building stream-processing systems using solutions such as Storm or Spark-Streaming
  • Good teamwork and multitasking skills
  • Ability to work independently and effectively on fast-paced, short-deadline projects
  • Meticulous attention to detail with strong focus on customer satisfaction Work to hard deadlines
  • Great balance between offering quick solutions and writing maintainable code

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