Data Technology Promotion Engineer
Job Summary
We are seeking a Data Engineer to join the Data Technology Promotion Office to support data-driven decision-making. You will be responsible for designing and constructing data infrastructure, including data warehouses and data lakes, to integrate internal and external data sources. The role involves collaborating with business departments and data scientists to ensure data usability and quality for analysis.
Responsibilities
- Plan and execute data collection strategies
- Design and build data warehouses and data lakes
- Perform data integration using APIs and ETL tools
- Ensure data quality and governance
- Lead small team projects and stakeholder coordination
Required Skills
- 3+ years experience in DWH/Data infrastructure
- Proficiency in BI tools (Tableau, Power BI, Looker)
- Data architect knowledge
- Business English (TOEIC 735+) and Native Japanese
- Team leadership and project management
Job Details
### Position: Data Engineer (Data Technology Promotion Office)
**Responsibilities:**
- Plan and execute data collection strategies based on business requirements.
- Design and build data warehouses and data lakes.
- Collect and integrate data using APIs, scraping, and ETL tools.
- Promote data quality management, metadata management, and data governance.
- Collaborate with data engineers, analysts, and business departments.
**Specific Work Topics:**
- Build data infrastructure in a cloud environment and integrate/process data required for analysis.
- Perform quality management of integrated data.
- Research, evaluate, and implement new technologies.
**Required Requirements:**
- 3+ years of experience in system development (requirements definition, design, development, testing, and operation) in DWH and data infrastructure construction.
- Experience implementing BI tools (Tableau, Power BI, Looker, etc.).
- Experience coordinating and negotiating with internal and external stakeholders.
- Ability to lead a small team (1-3 people), managing tasks, progress, and risks.
- Knowledge and skills as a data architect.
**Preferred Requirements:**
- Deep knowledge of data management.
- Knowledge of big data processing platforms (Spark, Hadoop, etc.).
- Department management experience (including evaluation and hiring).
**Languages:**
- English: Business Conversation Level (TOEIC 735-860).
- Japanese: Native Level.
**Working Conditions:**
- Working Hours: 09:30 - 18:00.
- Holidays: 125 days per year (Saturday, Sunday, and public holidays).
- Benefits: Social insurance, commuting allowance, overtime pay, family allowance, company product discounts, free passports to theme parks, benefit station membership, and pension plans.
- Contract: Full-time employee (6-month probationary period).