スキルハウスの採用情報
Data Engineer (BSS Platform)
役職：
Data Engineer (BSS Platform)
雇用形態:
Permanent
給与:
勤務時間:
English Level - Advanced (TOEIC 860), Japanese Level - None
職務内容
Responsibilities:
- 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.
Required Skills:
- Minimum of 7 years of relevant working experience.
- Deep understanding of BigQuery architecture, including partitioning, clustering, materialized views, and optimizing complex SQL queries for massive datasets.
- Proven experience building and maintaining production-grade ETL/ELT pipelines using tools like Apache Airflow, Google Cloud Dataflow (Apache Beam), or similar orchestration frameworks.
- Strong coding skills in Go (Golang) or Java for building custom data connectors, micro-transformers, and integration services.
- Ability to design efficient schemas for analytical reporting, including star/snowflake schemas and handling nested/repeated data structures common in CDR logs.
- Experience with message brokers (e.g., Kafka, Pub/Sub) for real-time ingestion of streaming telecommunications data.
- 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.
- Hands-on experience with Kubernetes (K8s) and containerization (Docker) to deploy and scale data processing workloads.
- Business-level English communication skills
Why should you apply:
- Join the team responsible for the core Business Support Systems supporting Rakuten Mobile's telecommunications services.
- Work on large-scale, real-world data challenges involving millions of subscribers and high-volume telecommunications event data.
- Build modern cloud-native data platforms using BigQuery, Airflow, Kafka/PubSub, Kubernetes, and distributed databases.
- Collaborate with engineering teams across Japan, India, China, and Singapore in a truly global environment.
- Influence the next phase of platform growth as Rakuten Mobile continues to scale and evolve its telecom ecosystem.
- Be part of an engineering culture that emphasizes ownership, code quality, automated testing, continuous delivery, and technical excellence.
Company Overview: This is a global company with a strong presence in multiple business sectors. It has achieved sustained growth both domestically and internationally, including in the U.S. and Europe. The company prides itself on its diverse and international environment, providing ample career opportunities and a commitment to equal opportunity. With a wide range of business activities, the company also works with various technologies. You can choose your preferred working environment, whether Windows or Mac! Meals at the employee cafeteria are free, and the chef regularly comes up with new menus, ensuring you never get bored of the meals!
Work Hours: 9:00 AM – 5:30 PM (Flextime or staggered working hours possible)
Work Style: Hybrid (Typically 4 days in the office, 1 day working from home)
Holidays: Saturdays, Sundays, public holidays, New Year holidays, paid leave, bereavement leave, and other special leave
Benefits: Full social insurance (employee pension insurance, health insurance, worker’s accident compensation insurance, unemployment insurance), DC pension plan, transportation allowance, childcare and caregiving support, cafeteria, retirement benefit system, welfare services (Relo Club), health counseling services, relocation support (visa support, moving), employee discounts (moving, language classes, etc.), and more
Interview Process: 3~4 times
