スキルハウスの採用情報

Senior Data Analytics Engineer (L1)

役職：

Senior Data Analytics Engineer (L1)

雇用形態:

正社員

給与:

14000000.00

勤務時間:

Japanese Level - Advanced (JLPT Level 1),English Level - Advanced (TOEIC 860)

職務内容

 

 


A world's leading Life Insurance firm is looking for a talented Senior Data Analytics Engineer .

As a Senior Analytics Engineer, you will be the technical cornerstone of our Data Modeling and Analytics initiatives, focusing on hands-on development (80%), research & innovation (10%), and technical leadership (10%).

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:
- Master’s degree in computer science, Data Engineering, or related technical field.
- 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:
- Our client is one of the biggest global insurance companies in the world.
- You will be working with the international team, and
- With best technologies in insurance domain.
- 50% WFH and 50% Work from Office


Company Details: 
One of the world's largest insurance - financial groups, trusted by over 50 million customers. The company provides various financial protections including general insurance, life insurance, retirement funds, and inheritance throughout the lifetime for individual customers, small businesses, and large companies.

Working Hours: 9:00 – 17:00 (Mon-Fri)
Working Style: Hybrid (2 days in office & 3 days’ work from home every week)
Holidays: Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays
Services/Benefits:  Social insurance, Transportation Fee, No smoking indoors allowed (Designated smoking area), etc.
Interview Process: 3~4 times
1st Technical interview will be online
2nd Technical and Management round will be f2f.
3rd HR Round will be online


 


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東京都港区虎ノ門3-8-27巴町アネックス2号館

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