Microsoft Azure Data Engineer
Description
An IT Solutions firm is looking for a talented Data Engineer, to strengthen the Insights and Data Team, to support one of the top global insurance clients in Japan.
Responsibilities
- Participate in projects using Microsoft Azure Blob Storage as Data Lake
- Define the data migration strategy with Data team
- Create and automate data transformation process using script and other ETL tools if necessary
- Report progress and status to the data team
- Functional knowledge and background of Microsoft Azure Blob storage and other data engineering tools on Azure
【Company Details】
A European leading strategic partner to companies around the world, it leveraged technology to enable business transformation for more than 50 years. It address the entire breadth of business needs, from strategy and design to managing operations. It draws on deep industry expertise and a command of the fast-evolving fields of cloud, data artificial intelligence, connectivity, software, digital engineering, and platforms, working with large corporations across different locations. With ongoing growth in the Japanese market, it proud itself of a very international environment, with high compensation, exciting benefits and long-term career potentials. Due to the nature of its business, it has positions open across Japan and a variety of projects across all major industries, from Financial to Automotive and Manufacturing.
【Working Hours】
9:00-18:00 (Monday-Friday) Hybrid
【Holidays】
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Other Special Holidays
【Services / Benefits】
Skill-up financial support, Social insurance, Transportation Fee, No smoking indoors allowed (Designated smoking area)
Required Skills
- Experience in Microsoft Azure as Data Engineer
- Proven experience as a Data Engineer familiar with Azure Environment
- Working knowledge of Data Migration
- Hands on experience of data transformation and automation
- Hands on experience of data injection using script, SQL and API
- Experience of data migration project