Job Description

ワークスタイル

リモートワーク・在宅勤務 服装カジュアル 残業少なめ フレックスタイム制

募集要項

Randstad is partnered with global Life Insurance client in their search for a Data Engineer. Through this role you will join the firm's global Data Management department, where you will work alongside brilliant data professionals. If you have strong background in Data Engineering with Scala and Spark, or a background in Java, Python, or other back-end languages and want to become a data engineer, this role is for you.

Responsibilities

• You will be utilizing various resources in Azure such as Data　Factory, Databricks, Synapse, and PowerBI to create the best solutions for the business.
• Build ETL pipelines in data factory, transform data in databricks, and use CICD pipelines to release code to production
• Transform and prepare various upstream data with Scala & Spark and prepare them for various downstream channels.
• Communicate effectively with end users and other engineers in the squad to implement the best solutions

応募必要条件

職務経験	3年以上
キャリアレベル	中途経験者レベル
英語レベル	ビジネス会話レベル (英語使用比率: 常時英語)
日本語レベル	無し
最終学歴	大学卒： 学士号
現在のビザ	日本での就労許可は必要ありません

スキル・資格

• Experience with Scala, Spark, or Java, Python (and other back-end languages) but willing to learn Scala.
• Strong experience with relational databases database (mainly SQL).
• More than 3 years of application development experience.

Good-to-have

• Experience of building data pipelines to extract, transfer and load data.
• Knowledge about Microsoft Azure or other public cloud architecture.
• Experience in using ETL tool like Azure Data Factory.
• Working knowledge of API based architectures.

勤務地

• 東京都 23区

労働条件

雇用形態

契約

給与

700万円 ~ 1000万円

業種

生命保険・損害保険

職種

会社概要

会社の種類	大手企業 (300名を超える従業員数) - 外資系企業
外国人の割合	外国人 多数

Job Tags

リモートジョブ,

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