Japan Supply Chain and Transportation organization is building a new Data Engineering （DE） team in Tokyo office. The new DE team will be responsible to design, implement, scale, and operate the big data pipeline and infrastructure that supports the growth of organization through insightful metrics and reports.
Data Engineering （DE） team is looking for an experienced, self－driven, analytical candidate. In this role, you will be working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with huge datasets and be someone who loves to bring data together to answer business questions. You should have deep expertise in creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with Business Intelligence Engineers （BIEs） and Data Scientists. In this role, you will have ownership of end－to－end development of data engineering solutions to complex questions and you’ll play an integral role in strategic decision－making.
The right candidate will possess excellent business and communication skills, be able to work with business owners to develop and define key business questions, and be able to collaborate with BIEs and Data Scientists to analyze data that will answer those questions. Core Responsibilities are:
Design, implement, and support a platform providing access to large datasets
Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, and Redshift
Build robust and scalable data integration （ETL） pipelines using SQL, Python and Spark
Build and deliver high quality datasets to support business analyst and customer reporting needs
Interface with other technology teams worldwide to extract, transform, and load data from a wide variety of data sources using SQL and other our technologies
Interface with business customers, gathering requirements and delivering complete reporting solutions
Continually improve ongoing reporting and analysis processes, automating or simplifying self－service support
Monitor and scale the team’s infrastructure
【必須（MUST）】5＋ years of relevant work experience in analytics, data engineering, business intelligence or related field
Demonstrated ability in data modeling, ETL development, and Data warehousing, or similar skills
Demonstrated ability in managing and transforming large data sets （e.g. SQL, Spark, EMR, Redshift, etc.）
Proven track record of successful communication of data infrastructure, data models, and data engineering solutions through written communication, including an ability to effectively communicate with both business and technical teams
Ability to communicate in English
【歓迎（WANT）】Graduate degree in computer science, mathematics, statistics, economics, or other quantitative field
5＋ years prior experience in a Data Engineer role with a technology company or financial institution.
Demonstrated ability to coordinate projects across functional teams, including engineering, IT, product management, finance, and operations
Knowledge of Advanced SQL and scripting for automation （e.g. Python, Scala, Perl or Ruby）
Experience with reporting tools like Tableau, Excel or other BI packages
Experience with our technologies including Redshift, RDS, S3
Familiarity with statistical models and data mining algorithms
Strong sense of ownership, bias for action, urgency, and drive
Ability to communicate in Japanese
Detailed condition of the salary will be notified individually prior to the 1st interview.
|アピールポイント||従業員数1000人以上 シェアトップクラス 2年連続売り上げ10％以上UP 年間休日120日以上 自社サービス・製品あり 外資系企業 女性管理職実績あり 20代管理職実績あり 上場企業 産休・育休取得実績あり ストックオプション制度あり 社内公用語が英語 教育・研修制度充実 海外事業 フレックスタイム|