社名
社名非公開
職種
データサイエンティスト
業務内容
Global Impact: One of the world's most powerful technology teams, a global technology company serving billions of users worldwide through more than 70 businesses.
Diverse environment: Work with highly skilled engineers from around the world with an engineer-first mentality.
...
The most used online travel product in Japan. Bilingual environment
求められる経験
■Mandatory Qualifications:
- Previous experience as a data engineer or equivalent.
- Experience with Public Cloud (preferably Azure and/or GCP).
- Proficiency in SQL database design.
- Understanding of application/system security.
- Communication and collaboration skills, ability to work well in a team.
- Excitement to work in a multicultural, international working environment.
■Desired Qualifications:
- Hands-on experience with data pipelining, message brokers (Kafka, Redpanda, etc.).
- Experience with visual design for the presentation of data.
- Experience in other technical roles such as software engineer, data analyst, data engineer, data scientist.
- Experience developing software using modern languages and practices.
- Interest in Machine Learning, Artificial Intelligence and/or similar areas.
保険
健康保険 厚生年金保険 雇用保険
休日休暇
土曜日 日曜日 祝日
給与
年収700 ~ 1,200万円
賞与
-
雇用期間
期間の定めなし
show more
社名
社名非公開
職種
データサイエンティスト
業務内容
Global Impact: One of the world's most powerful technology teams, a global technology company serving billions of users worldwide through more than 70 businesses.
Diverse environment: Work with highly skilled engineers from around the world with an engineer-first mentality.
The most used online travel product in Japan. Bilingual environment
求められる経験
■Mandatory Qualifications:
- Previous experience as a data engineer or equivalent.
- Experience with Public Cloud (preferably Azure and/or GCP).
- Proficiency in SQL database design.
- Understanding of application/system security.
- Communication and collaboration skills, ability to work well in a team.
- Excitement to work in a multicultural, international working environment.
■Desired Qualifications:
- Hands-on experience with data pipelining, message brokers (Kafka, Redpanda, etc.).
- Experience with visual design for the presentation of data.
- Experience in other technical roles such as software engineer, data analyst, data engineer, data scientist.
- Experience developing software using modern languages and practices.
...
- Interest in Machine Learning, Artificial Intelligence and/or similar areas.
保険
健康保険 厚生年金保険 雇用保険
休日休暇
土曜日 日曜日 祝日
給与
年収700 ~ 1,200万円
賞与
-
雇用期間
期間の定めなし
show more