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00011941 Requisition #

Rakuten USA is looking for a Data Engineer to build data driven solutions for our globally distributed customer base. Under the general guidance of the Lead Data Engineer, quickly and accurately translate concepts and specifications into workable data solutions and implement effectively; ensure consistent and coherent approach to software development; general data platform engineering, maintenance, and bug fixing.

  • Use Scala, Java or Python to utilize Hadoop/Spark to process large-scale datasets
  • Able to Identify, analyze, and interpret trends or patterns in complex log-based data sets
  • Use big data skills to bring high volumes of data together into our data lake
  • Awareness of priorities of client-led projects and internally generated tasks
  • Interpret data, analyze results using statistical techniques
This sounds like you:
  • Has an intrepreneur mindset
  • Highly organized, use initiative to identity solutions to complex issues, self-aware, self-motivated
  • Excellent verbal and written communication skills, can take requirements and translate into a technical concept
  • Planning & estimation: ability to set and meet your own project objectives & milestones
  • Action-oriented individual, self-motivated, and loves to identify and solve the right problems
  • Prefers working with groups in open collaboration
  • Able to plan individual work aligned within a group
  • Grasps reasons for business decisions as well as impact of decisions on other parts of the company
  • Sets a good example, demonstrates good practices, shows good judgement, balances service to others and service to self
  • Has a deep understanding of something and can teach others in a way that simplifies the concept
  • Bachelor’s degree in a quantitative field (e.g. mathematics, statistics, computer science or engineering)
  • 4+ years’ experience working for a medium or large technology company
  • Production level distributed computing experience using tools such as Spark, Hadoop, Hive, Zeppelin
  • Experience with storage and schema design in Hadoop, HBase, Hive, or Impala
  • Experience with Version Control such as git
  • Can solve problems and scale solutions in Terabyte or Petabyte level datasets
  • Proficient in Python
  • Experience in Ad Tech
  • Experience with Jupyter Notebooks (big plus)
  • Experience with TensorFlow
  • Experience with data visualization tools, such as Seaborn, Bookeh, Matplotlib
  • Cloudera Hadoop distribution provisioning, maintenance, and support experience
  • Bash scripting 
Duties of this may job requires working in an office environment, operating various office equipment, sitting for long periods at a time, stooping, bending, twisting, conversing with vendors, and being exposed to various noises and temperatures. Travel may be required.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Rakuten and any subsidiaries of Rakuten are considered property of Rakuten and any subsidiaries of Rakuten and are not subject to payment of agency fees.

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