Data Engineer

Appealing Points:

• Opportunity to directly contribute to improving consumer games through player behavior analysis and machine learning model development
• Environment where you can fully utilize and enhance your Python, SQL, and statistical modeling skills in real-world projects
• Chance to gain broad experience across data science and data engineering, including BI tool development, A/B testing, and analytics platform improvement

Annaul Salary: 6.8 Million yen and Above

Job Description:

• Defining requirements for game title sales and various marketing data reports
• Designing, building, and operating a global data platform using Databricks
• Data acquisition implementation using APIs and internal databases for various marketing tools
• Building dashboards using BI tools

Job Qualification:

• Experience building and operating data acquisition platforms related to services and marketing Experience using data processing languages (such as SQL, Python)
• Experience building and analyzing dashboards using BI tools, etc.
• Experience using storage services (GCP, AWS, etc.)
• Experience using data acquisition APIs
• Motivation to drive decision-making using data and to create new points of contact with users

Welcome skills:

• Project management experience in data engineering
• Knowledge and work experience in marketing and promotion
• Work experience building data infrastructure using Databricks

Language proficiency: Fluent Level Japanese (JLPT N1) and Business Level English (conversational level is also welcome)

Company Description:

The Consumer Business Division plans, develops, sells, and operates games and digital services for home video game consoles, PCs, and smart devices.

In addition, we have more than 16 development and sales bases overseas, and we create original contents that capture local needs which are gaining great support in overseas markets, and go to the whole world. It is expanding.

In addition, utilizing the know-how and assets cultivated through the game business, we are promoting the development of original new businesses that go beyond games.

. Skillset Required: Player behavior analysis, Machine learning model development, Python, SQL, Statistical modeling, Data science, Data engineering, BI tool development, A/B testing, Analytics platform improvement, Defining requirements, Data report design, Data platform design, Databricks, Data acquisition implementation, API usage, Internal database usage, Dashboard building, Data acquisition platforms, Data processing languages, Storage services usage, GCP, AWS, Data acquisition APIs, Motivation to drive decision-making, Project management, Marketing knowledge, Promotion experience, Data infrastructure building, Fluent Japanese (JLPT N1), Business Level English