Posted 10 months ago Financial Services Tokyo
Financial Services
Posted 10 months ago


  • Contribute to data platform designs, implementation, and operations with focus on end-to-end solutions and reusable frameworks/utilities.
  • Install, upgrade, and manage Cloudera, Azure, and open-source Data Platforms, tools & tech stack
  • Design and implement capacity, security model, access control, backup strategy, monitoring & alerting, service level of Data Platform
  • Optimize and tune the Data Platform for performance improvement
  • Plan and execute platform upgrade, maintenance, backup tasks, and audit related tasks.
  • Delivery of BI dashboards
  • Work closely with data engineers, operation teams, and business teams
  • Facilitate projects executions by providing clear information of platform design, architecture, infrastructure, capacity, operations, and proactively collaborations with project teams



  • Excellent understanding of the architecture, products, design patterns, typical use cases of Big Data Platform.
  • In depth knowledge and experience of Big Data Ecosystems, such as Hadoop, HDFS, Hive, Impala, Spark, Kafka, HBase, Phoenix, Solr.
  • 3+ years of experience in relevant Big Data technologies
  • Experience with solution architecture, design, and implementation
  • Good understanding of data management life cycle
  • Hands-on experience of BI tools: Qlik, Power BI etc.
  • Experience in large scale data warehouse implementations and knowledge of ETL technologies such as Informatica, Talend etc.
  • Basic knowledge of network, infra, security, RDBMS, NO-SQL database.
  • Good understanding of project management lifecycle
  • Ability to communicate effectively with IT and Business teams
  • Good presentation skills
  • Excellent written and verbal communication skills by English and Japanese.


  • 10+ years of experience in IT environment.
  • Development experience in any of these languages: Java, Python, Scala, Spark, SQL, shell
  • Hands-on experience with Linux, Windows server.
  • Fundamentals of data science and machine learning
  • Experience in Cloud Data Platforms such as Azure.


  • Bachelor’s degree in computer science or information technology, or equivalent experience


  • English: Intermediate and Above
  • Japanese: Intermediate and Above

Job Level

2. Mid-level, 3. Senior level

Apply Online
A valid email address is required.