【外資系保険会社】Data Engineer – Manager Role

案件ID 17441
勤務形態
正社員
給与
12,000,000 JPY - 16,000,000 JPY per year + Bonus + Overtime + Health Insurance + Benefits + Holidays + Flexible Hours
日本語レベル
ビジネスレベル(JLPT Level 1)
英語レベル
ビジネスレベル(TOEIC 860)
開始日
ASAP
勤務地
東京
勤務形態
正社員
給与
12,000,000 JPY - 16,000,000 JPY per year + Bonus + Overtime + Health Insurance + Benefits + Holidays + Flexible Hours
日本語レベル
ビジネスレベル(JLPT Level 1)
英語レベル
ビジネスレベル(TOEIC 860)
開始日
ASAP
勤務地
東京

職務内容

 

ABOUT THE ROLE:

One of our Fortune500, Global Insurance Client is looking for a talented Data Engineer (Manager Level) in the Digital Engineering Team, in the IT & Technology Division

 

The Data Engineer will be responsible for:

  • Changing technology trends, migrating legacy data warehouses to the cutting-edge Big Data platforms, and driving data utilization.
  • Integrate data processing and data itself from legacy data warehouse applications into a company standard Big Data infrastructure to provide business units with a data infrastructure environment that allows them to accelerate on utilizing company data.
  • As the owner of the company's essential data (or database applications), establish data management guidelines and create a standard data management environment.
  • Working with a culturally diverse and geographically distributed team to achieve a common goal in an agile delivery fashion

***This role would be best suited for an experienced PL/PM with an application engineering backbone.

 

If you have the right skillset, you are encouraged to apply for this role.

 

KEY RESPONSIBILITIES:

  • Maintain the in-charge application stable and robust (from the perspective of technology currency, DR/BCP plan, application inventory and etc.)
  • Lead or manage projects as IT lead and closely work with business stakeholders/teams.
  • Establish data management guidelines and educate other App owners
  • Keep data-related inventories up to date, such as data object lists, application CRUD, etc.
  • Measure, analyze and improve metrics related to database applications and data
  • Work closely with the Data team in order to establish an optimal data infrastructure and governance
  • Work closely with other App owners, Analysts and Architects in aligning with their Global Platform Reference Architecture
  • Coordinate and collaborate with their global/local stakeholders and global/local engineers.
  • Supporting documentation and paperwork related to financial institution processes

 

 

【会社概要 | Company Details】
多様な販売チャネルと商品ラインナップに強みを持つ、日本で40年以上の実績がある外資系保険会社です。多様性ある環境づくりにも力を入れており、中でも女性の登用に力を入れています。
Global insurance company with over 40 years of experience in Japan with strengths in various sales channels and product lineup. The company focuses on creating diverse environments including but not limited to promoting the appointment of women.

【就業時間 | Working Hours】
9:00 - 18:00(Mon - Fri)(Work from home due to COVID)

【休日休暇 | Holidays】
完全週休2日制(土日祝休み)、年末年始、年次有給休暇、その他特別休暇など
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays

【待遇・福利厚生 | Services / Benefits】

各種社会保険完備(厚生年金保険、健康保険、労災保険、雇用保険)、 屋内原則禁煙(屋外に喫煙所あり)、 通勤交通費支給等

Social insurance, Transportation Fee, No smoking indoors allowed (Designated smoking area), etc.

必須スキル

  • Experience in IT industry
  • Experience in delivering projects in Agile/Scrum/SAFe fashion
  • Lead a team of 5 members
  • Experienced in Cloud migration and deployment automation
  • Experience with any combination of the following: database technology, application development, data modeling and data migration.
  • Strong experience/knowledge on Azure Data Lake, Synapse Analytics or other cloud data platform
  • Strong experience/knowledge on RDBMS (Oracle, SQL Server and etc) and NoSQL DB (MongoDB, Cosmos DB, Cassandra, etc…)
  • Essential knowledge on Hadoop and eco-systems
  • Expertise on REST APIs, ESB and ETLs
  • Hands-on experience in
    -- Application Development using RDBMS (Oracle, SQL Server and etc) or NoSQL DB (MongoDB, Cosmos DB, Cassandra, etc)
    -- Containers (Kubernetes, Docker, etc)
    -- Cloud platforms (Azure, AWS, GCP, etc)
  • BI tool (Power BI, QlikSense/View, Tableau and etc)