Senior Data Engineer (E1) (N2 Japanese)
Senior Data Engineer (E1) (N2 Japanese)
Job type:
Permanent
Specialization:
Data and Analytics
Language Level:
English Level - Advanced (TOEIC 860),Japanese Level - High Intermediate (JLPT Level 2)
Location:
東京都
Salary:
¥12,000,000.00 - ¥14,000,000.00 Yearly
Job Reference:
487638
A Global Insurance Japan is looking for a talented Senior Data Engineer in the Data Platform & Strategy Department. The Platform and Strategy Department is looking for a strong Data Engineer who can design and implement scalable, production-grade data platform infrastructure components using AWS, Databricks, and modern data stack architecture patterns.
Responsibilities:
- Design and implement scalable, production-grade data platform infrastructure components using AWS, Databricks, and modern data stack architecture patterns
- Lead the development of critical data pipeline components and ensure they meet performance, security, reliability, and segregation of duty requirements
- Architect and implement complex data transformation workflows that handle large-scale data processing efficiently
- Implement advanced monitoring and observability solutions for the entire Data Platform
- Develop and maintain infrastructure-as-Code to ensure reproducibility and standardization
- Conduct research on emerging technologies and architectural patterns in the data engineering space that can serve in solving performance/maintainability/efficiency/cost related pain points
- Evaluate and prototype new tools and frameworks that could enhance platform capabilities
- Present technical proposals and PoCs to Data Platform Engineering leadership
- Author technical documentation and design proposals for Data platform improvements and smooth onboarding of the team as a whole
- Provide technical mentorship to team members and review critical code contributions
- Collaborate with junior stakeholders to align technical solutions with delivery requirements
- Lead technical design discussions and architecture review sessions
- Share knowledge through documentation, workshops, and technical presentation
Required Skills:
- 10+ years of experience in data engineering and software development
- Deep expertise in Cloud Platforms (AWS preferred) and data processing frameworks (Spark preferred)
- Expert-level knowledge of Python (preferred), Scala, or Java
- Extensive experience with modern SQL Warehouse (Databricks preferred, Snowflake, Big Query), columnar format handling (Parquet / Delta format, ORC preferred), and modern data architecture (Lakehouse preferred)
- Experience with DBT (Data Build Tool) and Data modeling methodologies
- Expert-level experience with Infrastructure as Code (IaC) practices and tools (Terraform and AWS CDK preferred)
- Strong background in distributed systems and high-performance computing
- Strong problem-solving abilities and analytical thinking
Why should you apply:
- This is a long-term opportunity
- You will be working with international team members
- Learn new technologies and on large scale projects
Company Details: A leading international insurance organization operates in over 130 countries and jurisdictions, offering services to commercial, institutional, and individual clients through one of the most extensive global property and casualty insurance networks. In addition to general insurance, the organization is also a prominent provider of life insurance and retirement services in the United States. Its common stock is publicly traded on both the New York and Tokyo stock exchange.The group's Japan-based affiliate provides IT-related services to support the organization’s operations within the country.
Working Hours: 9:00 - 17:30 (Mon-Fri)
Working Style: Hybrid (4 days in office, 1 day work from home)
Holidays: Saturday, Sunday, National Holidays, Year-end and New Year Holidays, 27 Paid Holidays every year (20 paid leaves, and 7 especial leaves)
Services/Benefits: Social insurance, Employee Pension Scheme, Transportation Fee
Interview Process: 3
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