Data strategy consulting and general business as one of the core of a client's enterprise or organization management strategy
Develop data engineering consulting and strategies, such as data infrastructure, architecture and formats, that are best suited for management, business and IT customers to achieve business objectives and problem-solving data strategies; design and implement
Data pipeline, data, process, integration, storage and other data infrastructure construction related businesses
Provides performance and cost optimization technical advice on data foundation and solution selection
Basic requirements
As data architects Databricks, Snowflake, AWS (Redshift/S3), Microsoft (Fabric, Azure Synapse Analytics, Data Lake), leveraging modern cloud technologies such as Google BigQuery to develop data strategies and design and implement large-scale data architectures
Interest and curiosity in the latest data engineering topics and best practices such as DWH, data lakes, data lake houses, data pipelines, data formats, etc.
Providing technical and organizational leadership in Japanese-English bilingual environment projects in multiple organizations and locations
Diagram-based dimensional data modeling techniques
Use of ELT/ETL knowledge and tools
Structured and unstructured data knowledge and processing experience
In addition to SQL, there are coding technologies such as Python, PySpark, etc.
Experience with agile data projects in a cloud environment
Good communication and presentation skills as a consultant (including business level Japanese and English reading, writing and conversational skills)Force)
Welcome request
Big data performance tuning and cost control consulting experience
Latest data management knowledge, such as data grids
Understand data in specialized areas such as marketing, CRM, supply chain, finance and environment
Management consulting experience
Relevant technical qualifications