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Data Engineer, BSS Platform - BSS Development Department (BSDD)
給与
記載なし※ 募集要項に金額の記載がありません
- 勤務地
- 東京都
- 雇用形態
- 記載なし
- 働き方
- 記載なし
- 年間休日
- 記載なし
要約求人票をもとにAIがまとめたものです
As a Data Engineer in the BSS Development Department, this role designs and builds data infrastructure for the telecommunications platform. Responsibilities include developing high-throughput data pipelines, managing distributed data lakes, and supporting real-time analytics and decision-making for the BSS platform.
応募資格
必須
- BigQuery Mastery: Deep understanding of BigQuery architecture, including partitioning, clustering, materialized views, and optimizing complex SQL queries for massive datasets
- Data Pipeline Orchestration: Proven experience building and maintaining production-grade ETL/ELT pipelines using tools like Apache Airflow, Google Cloud Dataflow (Apache Beam), or similar orchestration frameworks
- Programming Proficiency: Strong coding skills in Go (Golang) or Java for building custom data connectors, micro-transformers, and integration services
- Data Modeling: Ability to design efficient schemas for analytical reporting, including star/snowflake schemas and handling nested/repeated data structures common in CDR logs
- Event-Driven Integration: Experience with message brokers (e.g., Kafka, Pub/Sub) for real-time ingestion of streaming telecommunications data
- SQL & Database Literacy: Expert-level SQL skills and experience working with distributed databases (e.g., YugabyteDB or similar PostgreSQL-compatible distributed systems) to ensure data consistency between operational and analytical layers
- Cloud-Native Foundation: Hands-on experience with Kubernetes (K8s) and containerization (Docker) to deploy and scale data processing workloads
- Business Level English (TOEIC 800 or above, or equivalent qualification)
歓迎
- Infrastructure as Code (IaC): Proficiency in Terraform or Pulumi for provisioning data infrastructure and BigQuery resources in a reproducible manner
- Streaming Analytics: Experience with real-time stream processing frameworks like Apache Flink or Spark Streaming for sub-second CDR analysis
- Data Governance & Quality: Experience with data cataloging tools (e.g., Data Catalog, Collibra) and implementing automated data quality frameworks (Great Expectations, dbt tests)
- Advanced Telecom Knowledge: Domain expertise in telecommunications billing, charging systems (OCS/CCS), or network protocol analysis (Diameter, GTP, SIP)
- CI/CD for Data: Experience setting up CI/CD pipelines specifically for data projects (e.g., automated SQL linting, schema migration testing, and data regression testing)
- ML Integration: Basic familiarity with BigQuery ML or Vertex AI for predictive analytics on historical CDR patterns (e.g., churn prediction, anomaly detection)
- Experience in agile environments with globally distributed teams
募集要項最終確認 10/2
- 職種
- データエンジニア
- 雇用形態
- 記載なし
- 給与
- 記載なし
- 勤務地
- 東京都
- 働き方
- 記載なし
- 掲載日
- 2026/10/01 21:36（1日前）
- 最終確認
- 2026/10/02 16:40（今日）
仕事内容
Why We Hire
- The Business Support Systems Development (BSDD) Department is the core engine behind our company’s telecommunications infrastructure. We develop and operate critical BSS platforms across B2C, B2B, ISP, and Landline services. As we scale to millions of subscribers, our Quality Engineering team is tasked with shifting “Quality” to the left, ensuring that high-velocity releases do not compromise the stability of our mission-critical systems.
- Having completed its initial platform build-up phase, BSDD is now focused on scaling, modernizing, and stabilizing the platform for the next phase of growth. Engineering teams are distributed across Japan, India, China, and Singapore, working collaboratively in an English-first environment.
- As a Data Engineer in the BSDD, you will design and build the data infrastructure that powers our next-generation telecommunications platform. You will be responsible for architecting high-throughput data pipelines, managing large-scale distributed data lakes, and ensuring the integrity and accessibility of data across our ecosystem. Your work will focus on transforming raw, high-velocity telecommunications events into actionable insights, enabling real-time analytics and supporting mission-critical decision-making for our BSS platform.
Position Details
- Design and implement the data infrastructure that powers our B2B, B2C, and ISP business intelligence
- Build high-performance data pipelines that ingest, transform, and analyze massive volumes of telecommunications data, ensuring the data platform is robust, scalable, and ready for real-time decision-making
- Architect and optimize BigQuery datasets, including partitioning, clustering, materialized views, and complex SQL query tuning for large-scale analytical workloads
- Build and maintain production-grade ETL/ELT pipelines using orchestration frameworks such as Apache Airflow or Google Cloud Dataflow (Apache Beam)
- Develop custom data connectors, micro-transformers, and integration services using Go or Java
- Design efficient data models (star/snowflake schemas) for analytical reporting, including handling nested/repeated structures common in CDR logs
- Integrate real-time streaming telecommunications data using message brokers such as Kafka or Pub/Sub
- Ensure data consistency between operational and analytical layers, working with distributed databases such as YugabyteDB or similar PostgreSQL compatible systems
- Deploy and scale data processing workloads on Kubernetes using containerized services
- Collaborate with product managers, QA engineers, DevOps/SRE, and counterpart engineering teams across global offices to deliver end-to-end data solutions
Work Environment
- Global distributed team across Japan, India, China, and Singapore
- Agile/Scrum development with two-week sprint cycles
- English as the primary working language for documentation, design discussions, and cross-site communication
- Modern data stack: BigQuery, Kafka/Pub/Sub, Airflow/Dataflow, containerized on Kubernetes, deployed on cloud infrastructure
- Strong emphasis on engineering craftsmanship: code review culture, automated testing, and continuous delivery
この求人は楽天グループ株式会社の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。
東京都のデータエンジニアの求人293件
- 交通システム / サービス事業のクラウドデータプラットフォーム構築設計職
- データエンジニア【HRカンパニー】
- データ基盤エンジニア(スペシャリスト)【AIデータ基盤チーム】
- データ基盤チームリーダー(マネジメント)【AIデータ基盤チーム】
- データエンジニア
- データエンジニア（データ×AIを活用した業務変革推進）
募集元の採用ページから応募できます
応募は楽天グループ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。