Skillhouse Internal Career Opportunity
Senior Data Analytics Engineer (E1) (E-Only OK)
Position Title:
Senior Data Analytics Engineer (E1) (E-Only OK)
Employment Type:
Permanent
Working Hours:
English Level - Advanced (TOEIC 860),Japanese Level - None
Salary
Description
A Global Insurance firm is looking for a talented Senior Data Analytics Engineer in the Data Platform & Strategy Team.
Responsibilities:
- Design and implement scalable data transformation workflows using DBT (Data Build Tool) and modern data modeling patterns.
- Lead the development of Data Vault models and silver layer core data products that dimensional modeling gold layer analytical requirements can leverage.
- Architect and implement automated data transformation pipelines that handle large-scale data processing efficiently.
- Develop and maintain Infrastructure-as-Code using Terraform to execute version-controlled CI/CD/CO pipelines.
- Implement comprehensive testing and validation frameworks for data quality assurance.
- Create deployment pipelines following segregation of duties principles.
- Coordinate with Ops team for pre-production and production deployments
- Conduct research on emerging technologies and architectural patterns in the analytics engineering space.
- Evaluate and prototype new tooling that supports data modeling effort scalability.
- Present technical proposals and PoCs to technical leadership.
- Author technical documentation and design proposals for data modeling improvements.
- Investigate automation tools that can streamline the Data Vault implementation process.
- Provide technical mentorship to team members and review critical code contributions.
- Lead technical design discussions and architecture review sessions.
- Collaborate with Data Modelers and Data Analysts to align data modeling with available sources and business requirements.
- Share knowledge through documentation, workshops, and technical presentations.
Required Skills:
- 10+ years of experience in data engineering, analytics engineering or equivalent.
- Expert-level knowledge of DBT (Data Build Tool) for data transformation and modeling
- Deep expertise in Data Vault methodology and dimensional modeling
- Strong proficiency in SQL and Data Warehouse development (Databricks preferred, Snowflake, Big Query)
- Expert-level experience with Infrastructure as Code (Terraform preferred)
- Extensive experience with data pipeline orchestration tools
- Strong background in version control system (Github and AWS Code Commit preferred) and CI/CD/CO practices.
- Proven track record of leading complex technical initiatives
- Excellent communication skills with ability to explain complex technical concepts to various audiences.
- Strong problem-solving abilities and analytical thinking
- Demonstrate leadership in technical decision-making.
- Self-motivated with ability to work autonomously.
- Proven ability to mentor and guide technical team members.
- Result-oriented with strong project management skills
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
