RESPONSIBILITIES:
- Design / implementation of scalable data architecture, data processing, data analysis across multiple data domains
- In working with cross-functional teams
- Build components to manage the health of data flow, data storage, and related services
- Contribute to documentation and code maintainability
- Collaborate with different teams to develop and deliver bests practices
MINIMUM QUALIFICATIONS:
- You are required to have PwD (People with Disabilities) handbook from Japanese government
- Professional experience in one or more languages, such as C++, C#, Java, Go, Rust and Python
- Experience in SaaS, IaaS, PaaS (AWS, GCP) and sync/async API design (REST, gRPC, Kafka)
- Experience designing data architecture across multiple data domains using unified analytics platforms, such as Databricks.
- Background in large-scale batch or stream processing
- Proficiency in business level English
NICE TO HAVES:
- Deep experience working with either RDBMS, DocumentDB and KVS
- Experience with big data platforms, machine learning platform and stacks (e.g. Hadoop, Spark)
- Familiarity with the standards related to data and data governance issues
- Understanding of security practices around data management
- Familiarity with DevOp or DataOps best practices in a cloud environment (e.g. AWS)
1 applies
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