【Growing Fintech Company 】Data Engineer SS16236 | 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

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更新日 2021-06-08
掲載開始日 2021-06-08

【Growing Fintech Company 】Data Engineer SS16236

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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
職種
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
IT関連(オープン・WEB系) - プロジェクトマネージャー
業種 ソフトウェアベンダー
勤務地 アジア 日本 東京都
アジア 日本
仕事内容 A leading Fintech company is looking for a Data Engineer to work on their payment system to deliver the best payment experience for their customers.

The ideal candidate is a problem solver and a learner at heart. You should have a very high degree of comfort in a programming language of your choice. They offer a flexible work schedule and you get your choice of tools (both hardware and software) and most importantly, the opportunity to work on tough problems with the brightest minds around you.

【Responsibilities】
・ Work directly with Data Analysts and Platform Engineering Team to create reusable experimental and production data pipelines
・ Understand, tune, and master the processing engines (like Spark, Hive, Cascading, etc) used day・to・day
・ Keep the data whole, safe, and flowing with expertise on high volume data ingest and streaming platforms (like Spark Streaming, Kafka, etc)
企業について
(社風など)
Growing fintech company provides QR code and bar code based payment system. The company offers a flexible work schedule and you get your choice of tools (both hardware and software) and most importantly, the opportunity to work on tough problems with the brightest minds around you.
勤務時間 10:00 - 18:45(Mon - Fri)
Super Flextime available
応募条件 ・ Worked on building data pipelines ingesting and transforming large number of events per minute and terabytes of data per day
・ Worked with Spark and Kafka before and have experimented or heard about Flink/Druid/Ignite/Presto/Athena and understand when to use one over the other. Preferably, you have worked with cloud based big data processing platform such as AWS EMR, Google Cloud DataProc
・ Passionate about producing clean, maintainable and testable code part of real・time data pipeline
・ Understand how micro services work
・ Connect different services and processes together even if you have not worked with them before and follow the flow of data through various pipelines to debug data issues
・ Understand issues with ingesting data from applications in multiple data centres across geographies, on・premise and cloud and will find a way to solve them
・ Proficient in Java/Scala/Python/Spark
英語能力 なし
日本語能力 なし
年収 日本・円 800万円 〜 1300万円   
給与に関する説明 Social insurance, Transportation Fee, Defined contribution pension system, training programs, no smoking indoors allowed (Designated smoking area), etc.
休日 Saturday, Sunday, and National Holidays
契約期間 Permanent
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