7 days ago
Tokyo, JapanSenior
Responsibilities
- Design, build, and own the V1 CCaaS data infrastructure from ingestion through serving.
- Develop and operate production ETL/ELT pipelines for chatbot events and customer journey data.
- Architect and optimize cloud data warehouse datasets across raw, cleansed, and aggregated layers.
- Design event-centric data models at session and turn grain for operational features and analytical reporting.
- Implement data quality checks, monitoring, and observability for reliable production pipelines.
- Partner with Data Analysts and Product Managers to turn data requests into scalable, reusable data products.
- Integrate real-time and near-real-time data streams as event volumes grow.
- Establish standardized event definitions, schemas, naming conventions, documentation, lineage, and access controls.
Requirements
- Over 5 years of hands-on data engineering experience, including building and operating production data pipelines.
- Advanced SQL and strong proficiency in at least one programming language such as Python or Go.
- Experience with BigQuery, Snowflake, or Databricks, including performance tuning at scale.
- Experience with ETL/ELT orchestration tools such as Apache Airflow, dbt, or Google Cloud Dataflow.
- Experience designing analytics data models and data marts across layered architectures such as medallion bronze, silver, and gold layers.
- Familiarity with Kafka or Pub/Sub for real-time ingestion.
- Experience building data infrastructure from scratch in a greenfield or V1 product context.
- Experience partnering with analysts, product managers, or engineers to deliver reliable and reusable data solutions.
- Fluent English and strong communication skills for collaboration in a multinational environment.
- Ability to design robust data solutions amid ambiguity and changing V1 product requirements.
- Preferred experience with Docker, Kubernetes, Terraform, Apache Spark, data quality or governance tools, data catalogs, Tableau, Looker, or DOMO.
- Preferred ability to perform exploratory data analysis, create dashboards, and support A/B test analysis.
- Experience in CCaaS, communications technology, telecom, or AI-driven products is preferred.
Tech Stack
Apache AirflowApache KafkaApache SparkDatabricksdbtDockerGoGoogle BigQueryKubernetesPythonSnowflakeSQLTerraform
Categories
Data Engineering
About Rakuten
Rakuten Group builds e-commerce marketplaces, financial services (credit cards, payments, banking, securities), and digital/communications offerings for consumers and merchants worldwide. It monetizes through transaction fees, financial services income, advertising, and mobile subscriptions; flagship businesses include Rakuten Ichiba, Rakuten Card, and Rakuten Mobile. Founded in 1997 and headquartered in Setagaya, Tokyo, the company is publicly listed on the Tokyo Stock Exchange and operates across many countries and regions.