Software Engineer

Rakuten is a global Internet and e-commerce company with over 1.3 billion registered users worldwide. Our e-commerce platform is the largest of its kind in Japan and among the world's largest by sales. Rakuten has many subsidiaries as well, including well-known brands like Rakuten VIKI, ShopStyle, Curbside, Rakuten TV, Kobo (e-Reading) and Viber (messaging).

As a Software Engineer, you will be working with a talented team to enhance our world-class advertisement management system at Rakuten’s Core Platform Section. You will work in close collaboration with multiple teams and cross regions, to design and deliver new and innovative customer solutions. You will be responsible for building the "connectors" that fuel our data platform, specifically focusing on ingesting high-volume data from global Advertising platforms. We value outcome over process—we are looking for someone that result-oriented and who takes pride in seeing their code deliver tangible business value.

Responsibilities

• Data Ingestion: Build and maintain robust pipelines to consume data from major Advertising APIs, including Google Ads, Meta, TikTok, Yahoo, and Criteo.
• Pipeline Development: Develop scalable batch and streaming processors using Apache Flink and Spark to transform raw API responses into actionable insights.
• API Management: Design and implement solutions to handle RESTful service constraints, such as rate limiting, pagination, and authentication (OAuth2).
• Cloud Infrastructure: Deploy and manage services on GCP (BigQuery, CloudRun, Dataflow) using Terraform and Docker.
• Reliability & Monitoring: Instrument your pipelines with Grafana and Prometheus to ensure data is flowing 24/7 without gaps.
• Outcome Focus: Take full ownership of tasks from "dev" to "production," maintaining a getting-done mindset to meet project milestones.

• Education: Degree in Computer Science, Data Engineering, or equivalent experience.
• Technical Fundamentals: Strong understanding of RESTful APIs and how to efficiently consume data from external web services.
• Domain Knowledge: A foundational understanding of the Digital Advertising ecosystem (e.g., Campaigns, Impressions, Clicks, Conversions, and Attribution models).
• Programming: Proficiency in Python, Scala, or Java, with a focus on writing clean, testable code (TDD).
• Mindset: A strong outcome/value focus. You don't just write code; you ensure the data is accurate and provides value to the end user.
• Problem Solving: Ability to troubleshoot API failures or data discrepancies under pressure.
• Communication: Excellent verbal and written English to articulate technical challenges and document API integration logic.

• Ad-Tech APIs: Google Ads API, Meta Graph API, TikTok Marketing API, Criteo API
• Data Processing: Apache Flink, Apache Spark (Batch & Streaming)
• Cloud (GCP): BigQuery, GCS, CloudRun, Dataproc, Dataflow
• DevOps: Terraform, Jenkins, Docker, Kubernetes
• Web Services: REST APIs, JSON/Protobuf, OAuth2
• Databases: SQL (BigQuery) & NoSQL