- Workplace
- Remote, Onsite
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 3+ years
- Source
- RecruiterFlow
Description
Our brand, Lennor Metier Consulting, a DOLE-licensed headhunting and recruitment agency in the Philippines, is proud to partner with a multinational tech company in their search for a Senior Data Engineer based in Tokyo, Japan.
Salary: up to JP¥12,000,000 annually
Work Setup: Onsite
Shift Schedule: Day Shift
Location: Tokyo, Japan.
The Role
We are recruiting a Senior Data Engineer as a core member of the Data & AI Integration Business Division (FAI) to lead business expansion from a technical perspective. You will leverage Databricks, Snowflake, and major public clouds (AWS, Azure, GCP) to lead the design and construction of large-scale data infrastructure, helping to solve clients' business challenges. From technology selection and architecture design to team mentoring, you will have autonomy over the process
Your Responsibilities:
As the technical lead for projects, you will spearhead the following:
- Data Platform Architecture Design and Construction: Design and build optimal data analytics infrastructure architectures by comprehensively utilizing services from Databricks, Snowflake, AWS, Azure, and GCP.
- Leadership in Large-Scale Data Migration Projects: Serve as the technical leader in projects migrating on-premises environments to cloud-based Data Warehouses (DWH) or Data Lakes.
- Technology Selection and PoC (Proof of Concept) Implementation: Select the optimal technologies and services based on project requirements and validate their effectiveness.
What We're Looking For:
- At least 3 years of practical experience in the field of data engineering
- Experience designing and building data infrastructure using at least one of AWS, Azure, or GCP
- Experience developing large-scale distributed data processing pipelines using Spark or Python
- In-depth knowledge and practical experience in data modeling
- Practical experience as a Project Manager or Technical Lead
- Development experience in multi-cloud environments
- Knowledge and experience in data governance (data quality, data catalog, security)
- Practical experience with either Databricks or Snowflake
- Relevant cloud certifications (e.g., AWS Certified Data Analytics, Snowflake SnowPro Core/Advanced, Databricks Certified Data Associate/Engineer)
- Experience using AI (such as Generative AI) for requirement gathering, documentation writing, and design assistance, or a strong willingness to learn
- Experience leveraging AI to improve business efficiency or quality, or a strong interest in such explorations
- Understanding or interest in system architecture design predicated on AI (including architectural planning for AI applications)
Ready to take the next step in your career? Submit your application now!
--- We kindly request your patience as we receive a significant number of applications. Rest assured that our team will update your application's status soon. In the meantime, we encourage you to follow our LinkedIn page to stay informed about future opportunities and company updates.