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Backend & Data Engineer

給与

600〜800万円/年※ 募集要項に記載のレンジ。実額は選考で決まります

勤務地
東京都東京23区
雇用形態
派遣
働き方
記載なし
年間休日
非公開

仕事内容その他職種

This role develops and operates data infrastructure and applications supporting product master data at scale. It covers Java and Spring Boot batch applications, Apache Beam ETL pipelines, GCP cloud-native services, database optimization, and Linux-based operations.

職務内容

  1. Design, develop, test, deploy, and operate data infrastructure and applications supporting product master data.
  2. Build and maintain batch applications using Java and Spring Boot, and develop ETL pipelines using Apache Beam.
  3. Work with cloud-native solutions on Google Cloud Platform including Dataflow, BigQuery, Bigtable, Dataproc, Cloud Run, networking components, and Terraform.
  4. Design and optimize database schemas while improving SQL performance and system efficiency.
  5. Manage and troubleshoot services in Linux-based environments using shell scripting when required.
  6. Collaborate with engineers and stakeholders on detailed design, implementation, testing, and operational improvements.
  7. Support continuous enhancement of data quality, scalability, reliability, and maintainability.
  8. For more experienced candidates, participate in requirements gathering, solution architecture, and system design activities.

募集要項最終確認 9/10

雇用形態
派遣
想定年収
600〜800万円/年
勤務地
東京都東京23区
働き方
記載なし
年間休日
非公開
職種
その他職種
経験年数
2年以上
掲載日
9/10
最終確認
9/10

応募資格(必須)

  • 4+ years of professional experience in Data Engineering or Software Engineering with a strong data focus.
  • 2+ years of hands-on experience with Java, Spring Boot, and Apache Beam (v1.8+).
  • Experience creating batch applications using Spring Boot.
  • Experience building ETL/data processing pipelines using Apache Beam.
  • Strong understanding of unit testing frameworks such as JUnit and performance-focused development practices.
  • 2+ years of professional experience working with Google Cloud Platform.
  • Experience with GCP services including networking components, Cloud Run, BigQuery, Dataflow, Bigtable, Dataproc, and Terraform.
  • Experience with relational databases such as MySQL and exposure to NoSQL databases.
  • Strong knowledge of database design, SQL tuning, and performance evaluation.
  • Experience working with Linux environments and shell scripting.
  • Proven ability to collaborate effectively within an engineering team.
  • Business-level English communication skills.
  • Japanese language ability at conversational level or above.

歓迎する経験

  • Experience using AI-assisted coding and testing tools.
  • Experience with large-scale data processing platforms such as Hadoop MapReduce.
  • Experience developing RESTful APIs.
  • Experience with front-end technologies such as Vue.js or React.
  • Experience with container technologies including Docker and Kubernetes.
  • Experience with TypeScript and/or Python.

求めるスキル・経験

BeamBigQueryCloud BigtableCloud RunDataflowDataprocDB設計GCPJavaJUnitMySQLSpringTerraformソフトウェア開発データエンジニアリングビジネス英語DockerKubernetesPythonReactTypeScriptVue.js

この求人はマイケル・ペイジ・インターナショナル・ジャパン株式会社採用ページの掲載内容をもとに構成しています。応募条件の最新情報は募集元をご確認ください。

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応募はマイケル・ペイジ・インターナショナル・ジャパン株式会社の採用ページで受け付けています。このページは採用ページの掲載内容をもとに構成しているため、最新の応募条件は募集元でご確認ください。

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