Data 部門 - Lead Data Engineer

Capgemini

Tokyo, Japan
On-site
Scala/spark/java data pipelines
Distributed systems (hadoop, spark)
Public cloud technologies (azure)
Collaborate with users and project team on requirements and expectations

Job Summary

  • Collaborate with users and project team on requirements and expectations.
  • Design and implement highly scalable and robust data pipelines in Scala/Spark/Java for processing of extreme large amount of data.
  • Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world.

Matching Summary

Collaborate with users and project team on requirements and expectations.

Skills & Requirements

Must-have

  • Scala/Spark/Java data pipelines
  • Distributed systems (Hadoop, Spark)
  • Public cloud technologies (Azure)
  • SQL, shell scripting, git
  • CI/CD tools

Nice-to-have

  • REST API, NoSQL, micro-services
  • Streaming data processing
  • Change data capture
  • BI tools

Key Requirements

  • 3-6 years of working experience
  • Software development experience
  • Business Level Japanese (Optional)
  • Business Level English

Work Rights

Not specified

Tailored Resume

Cover Letter