【Global Web Service Company】Big Data Engineer JL13819 | スキルハウス・スタッフィング・ソリューションズ株式会社/Skillhouse Staffing Solutions K.K.の求人詳細


キービジュアル キービジュアル
更新日 2019-03-08
掲載開始日 2019-03-07

【Global Web Service Company】Big Data Engineer JL13819

  • ★★★ シニアレベル
  • 転勤無し
スキルハウス・スタッフィング・ソリューションズ株式会社/Skillhouse Staffing Solutions K.K.
企業名 会社名非公開
スキルハウス・スタッフィング・ソリューションズ株式会社/Skillhouse Staffing Solutions K.K.
IT関連(オープン・WEB系) - WebアプリケーションSE
IT関連(オープン・WEB系) - データベースSE
マーケティング/PR - リサーチ・分析
業種 マスコミ・広告・出版・印刷・放送
勤務地 アジア 日本 東京都
アジア 日本
仕事内容 The new DE team will be responsible to design, implement, scale, and operate the big data pipeline and infrastructure that supports the Japan retail organization growth through insightful metrics and reports.

‐ 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 AWS 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 for customers
Famous global tech firm known for its customer-centric policy and a full range of employment benefits.
勤務時間 9:00 - 18:00(Mon - Fri)
応募条件 ‐ Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
‐ Industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
‐ Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
‐ Experience using business intelligence reporting tools (e.g. Tableau, Business Objects, Cognos, AWS Quicksight, etc.)
‐ Knowledge of data management fundamentals and data storage principles
‐ Knowledge of distributed systems as it pertains to data storage and computing
‐ Proficiency in one of modern programming languages such as Java, Python, R, Ruby or Scala
英語能力 日常会話(TOEIC 475-730)
日本語能力 最低限のコミュニケーション
年収 日本・円 750万円 〜 1000万円   
給与に関する説明 ‐ Social insurance
‐ Transportation Fee
休日 Saturday, Sunday, and National Holidays
契約期間 Permanent




スキルハウス・スタッフィング・ソリューションズ株式会社/Skillhouse Staffing Solutions K.K.




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【Global Web Service Company】Big Data Engineer JL13819