AirflowApacheBigQueryCloud StorageFlinkGCPGoJavaKafkaKubernetesPythonRustSparkTerraform
業務内容
- Design, develop, and maintain data infrastructure for analytics and product features.
- Build and maintain data pipelines, ETL/ELT processes, data models, and storage solutions.
- Ensure reliability, scalability, and observability of data platforms (monitoring, logging, alerts).
- Collaborate with data science, analytics, backend, and product teams to define data requirements and deliver data-driven features.
- Improve data quality, governance, and security of data assets.
- Participate in architecture reviews, code reviews, testing, and documentation.
技術スタック
必須スキル
- Not specified in the job posting. (Inferred: strong software engineering fundamentals and data pipeline proficiency)
歓迎スキル(該当する場合)
- Not specified in the job posting. (Inferred: cloud data services (AWS/GCP/Azure), ETL/ELT tooling, distributed processing, SQL, Python/Scala/Java)
キャリア成長観点
- Design and operate data infrastructure enabling analytics and personalization for a global game platform, broadening impact across products.
- Work with data science, analytics, and product teams, providing opportunities for broader influence and leadership in data/platform engineering.
- Deepen expertise in reliability, observability, governance, and security for data assets, with potential paths toward Platform Engineer, SRE, or Infra leadership roles.
データ取得日: 2026/9/10
面接に向けて、考え方と伝え方を学習コンテンツで整理しましょう。
面接対策コンテンツを見る