Data Engineer

1.9 Rakuten – San Mateo, CA 3 days ago
$100k-$119k(Glassdoor est.)

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Glassdoor Estimated Salary

$109,000/ year

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Rakuten, Inc. is the largest ecommerce company in Japan, and
third largest ecommerce marketplace worldwide. Rakuten seeks to empower
merchants to deliver Omotenashi, a hospitality mindset, which helps sellers
create lasting relationships with customers.

At Rakuten, we offer competitive salaries, benefits, annual
bonuses, a stocked kitchen (including catered breakfast and lunch daily), and a
dynamic office environment in San Mateo, CA. We love investing in our people
and when it comes down to it, we think our entire team is pretty awesome. As a
technology focused company, we understand the importance of an energizing
atmosphere that promotes collaboration and innovation.

The Role:

Working as part of
the Global Data Office you will be part of the team that provides data platform
services and data science solutions at global scale. Leveraging diversity of data sources owned
by Rakuten group companies, you will deliver technology to effectively collect,
manage, and provide group-wide data. You will proactively identify business
needs from various companies and implement advanced analytics solutions to
create business value.



Work with stakeholders throughout the organization
to create and maintain highly scalable data pipelines and data systems.

Build the infrastructure required for optimal
extraction, transformation, and loading of data from a wide variety of data
sources using SQL and big data technologies.

Build processes supporting data transformation, data
structures, metadata, dependency and workload management.

Standardize and implement solutions across Rakuten
group in an efficient, scalable manner


Collaborate with business managers, engineers, and
R&D teams to effectively identify new opportunities and systemize
development operations/process

Follow trends in modern technology and
propose innovative approaches


in Computer Science or related field

5+ years of software
development experience


Solid design
skills and experience building end-to-end data pipeline solutions.

Solid background in
SQL, and programming languages like Python, Java, etc.

Knowledge of a
variety of big data technologies (HDFS, Hive, Spark, Beam, Kafka, Storm, etc.)
and their advantages/drawbacks

Knowledge of
JSON, XML and Linux


team-oriented, responsible, and reliable with a positive attitude and strong
communication skills


Strong analytic skills related to
working with unstructured datasets.

Knowledge of
internationalization, character sets and locales

knowledge of object oriented development and API design

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