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Data Engineer(Analytics Platform Service) Middle/Senior Class : BDD

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Engineering
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Rakuten, Inc.
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00007242 Requisition #

Rakuten is one of the leading e-commerce companies in the world. Our mission is to empower people and society through the internet while aiming at becoming the Global Innovation Company.

We are looking for a Data Engineer to join our growing team of analytics experts. Our team is responsible for processing Rakuten's biggest data pipeline, collecting 2 billion events daily. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.


 

Responsibilities:

 

  • Build and maintain large-scale batch and real-time data pipelines with data processing frameworks and technologies like Spark, Hive, Flink, Spark-Streaming, Hadooop, etc.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Improve data quality through testing, tooling and continuously evaluating performance
  • Work in cross functional agile teams to continuously experiment, iterate and deliver on new product objectives.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
Required Qualifications 
  • You know how to work with high volume heterogeneous data big data tools like Hadoop, Spark, Kafka, Hive, etc.
  • You are an expert in one or more object-oriented/object function scripting languages like Scala, Python, Java, etc(over 3~5 years experience is preferred).
  • You are knowledgeable about stream-processing systems like Flink, Spark-Streaming, etc.
  • You care about agile software processes, data-driven development, reliability, and responsible experimentation
  • You have experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Preferred Qualifications 
  • SQL(Hive, MySQL, Presto)
  • Familiar with Adobe Analytics or Google Analytics

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