09.Data Engineer

PayPay is seeking skilled Data Engineers to join its team and contribute to scaling its Data Engineering Platform across the organization. The ideal candidate will have experience with Databricks, Delta Lake, Spark, and Scala, as well as proficiency with Data Orchestration tools and Change Data Capture tools.

Requirements

• Minimum 7 years as a Data Engineer or similar role
• Hands-on experience with Databricks, Delta Lake, Spark, and Scala
• Proven ability to design, build, and operate Data Lakes or Data Warehouses
• Proficiency with Data Orchestration tools (Airflow, Dagster, Prefect)
• Familiarity with Change Data Capture tools (Canal, Debezium, Maxwell)
• Strong command of at least one primary language (Scala, Python, etc.) and SQL
• Experience with data catalog and metadata management (Unity Catalog, Lakeformation)
• Experience in Infrastructure as Code (IaC) using Terraform
• Excellent problem-solving and debugging abilities for complex data challenges
• Strong communication and collaboration skills
• Capability to make informed decisions, learn quickly, and consider complex technical contexts
• Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance