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Location | Tokyo - 23 Wards |
Job Type | Permanent Full-time |
Salary | 7 million yen ~ 9 million yen |
Responsibilities:
Understand overall current application landscape and work on future roadmap aligned with business architecture.
Create and maintain with the team, an optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the pipelines required for optimal loading of data from a wide variety of data sources to ADLS using Azure Data Factory, Databricks and other Azure Data technologies.
Maintain security and data privacy.
Work with stakeholders including the Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Work with regional data team to ensure regional data storage, retrieval guidelines are adhered ensuring market specific business needs.
Leading a team of data engineers, for delivering the on-time project requirement.
Act as SPOC, for market and regional team members for any data related development, support etc.
Minimum Experience Level | Over 6 years |
Career Level | Mid Career |
Minimum English Level | Business Level |
Minimum Japanese Level | Daily Conversation |
Minimum Education Level | Bachelor's Degree |
Visa Status | Permission to work in Japan required |
Experience:
5+ years of experience in:
Big Data Ecosystems: Spark, Hive, HBase, HDFS, NiFi
ETL Tools: Azure Data Factory, Databricks, NiFi
Language: Python
Versioning tool: BitBucket
Language skills- English language conversation/reading/writing a must; Japanese language conversation skill is highly preferred
Job Type | Permanent Full-time |
Salary | 7 million yen ~ 9 million yen |
Industry | Insurance |
Company Type | Large Company (more than 300 employees) - International Company |
Non-Japanese Ratio | About half Japanese |