Data Engineer at Rakuten (Setagaya City, Japan)

Why We Hire

We are looking for a Data Engineer to join our growing team of analytics experts. 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. We are searching for an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

Position Details

• Build and maintain large-scale batch and real-time data pipelines with data processing frameworks and technologies like Spark, Hive, Flink, Spark-Streaming, Hadoop, 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

Mandatory Qualifications:

• Ability to work with high volume heterogeneous data tools such as Spark, Hive, Pandas, Hadoop, etc.

• Expert in one or more object-oriented/object function scripting languages, such as Scala, Python, Java, etc. (over 3~5 years experience is preferred)


• Knowledgeable about stream-processing frameworks or platforms such as Flink, Spark Streaming, Kafka, etc.


• Proactive in caring about agile software processes, data-driven development, reliability, and responsible experimentation


• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

Desired Qualifications:

• SQL(Hive, Presto)


• Familiar with Adobe Analytics or Google Analytics