서울특별시 강남구 역삼1동 테헤란로 152구글코리아
구글 주식회사(영어: Google Inc.)는 미국의 다국적 기업이다. 1998년에 'BackRub'이라는 이름으로 설립했다. 구글은 미국 전체 인터넷 검색의 2/3, 전 세계의 70%를 장악했다. 2008년에 구글은 자사 웹 페이지 인덱스 크기가 1조 개를 돌파했다고 발표했으며 다른 어떤 검색 엔진보다도 3배 이상 큰 인덱스를 관리한다. 2009년 초 구글에서 매일 수십억 개의 검색 결과 페이지가 방문되고, 수백억 개의 구글 광고가 노출되었다.
지원분야
모집부문
Google Cloud Platform, Data Engineering Instructor
Google Cloud Platform, Data Engineering Instructor
업무내용
Responsibilities
- Deliver superb technical training from the GCP Curriculum to diverse audiences (e.g. partners, customers, Googlers etc.) and to individuals from across a wide range of roles such as Solution Architects, Developers, Data Engineers, Sales Engineers etc.
- Participate in training planning conversations with strategic customers/partners etc. and work on tailoring content for those audiences as required.
- Evaluate, train, audit and coach trainers from our partner training companies.
- Provide direct field feedback to the Curriculum Development team and work on updating content as/when required.
- Ensure your training schedules are published and any content updates are recorded as required.
Responsibilities
- Deliver superb technical training from the GCP Curriculum to diverse audiences (e.g. partners, customers, Googlers etc.) and to individuals from across a wide range of roles such as Solution Architects, Developers, Data Engineers, Sales Engineers etc.
- Participate in training planning conversations with strategic customers/partners etc. and work on tailoring content for those audiences as required.
- Evaluate, train, audit and coach trainers from our partner training companies.
- Provide direct field feedback to the Curriculum Development team and work on updating content as/when required.
- Ensure your training schedules are published and any content updates are recorded as required.
고용형태
신입
신입
지원 자격
학력
대졸
대졸
직무관련
Qualifications
Minimum qualifications:
- Bachelor’s degree in Computer Science, Maths or related field or equivalent practical experience.
- Cloud programming experience. (i.e. Python, Java, .NET, Node.js, Go). Data science/ML experience (i.e. Statistics, ETL, Machine Learning, AI).
- Experience with data processing technologies Hadoop, Spark, Kafka, etc. Experience in SQL and NoSQL database technologies for both transaction processing and data analytics.
- Ability to speak, write and train in English and Korean fluently and idiomatically. languages skills.
Qualifications
Minimum qualifications:
- Bachelor’s degree in Computer Science, Maths or related field or equivalent practical experience.
- Cloud programming experience. (i.e. Python, Java, .NET, Node.js, Go). Data science/ML experience (i.e. Statistics, ETL, Machine Learning, AI).
- Experience with data processing technologies Hadoop, Spark, Kafka, etc. Experience in SQL and NoSQL database technologies for both transaction processing and data analytics.
- Ability to speak, write and train in English and Korean fluently and idiomatically. languages skills.
우대사항
Preferred qualifications:
- GCP Data Engineer Certification or equivalent.
- Experience creating data science models, dashboards, and/or data pipelines.
- Experience providing training to a diverse set of customers, from startups to Fortune 100 companies, and to diverse audiences from C-level executives to students in public courses and/or been in client facing technical consulting/educating type role.
- Experience creating, maintaining and/or delivering content in a fast-moving technology area, while also being comfortable working in a fast growing, dynamic and sometimes ambiguous environment.
- Experience instructing/teaching developers/technical students in adopting new technologies.
Preferred qualifications:
- GCP Data Engineer Certification or equivalent.
- Experience creating data science models, dashboards, and/or data pipelines.
- Experience providing training to a diverse set of customers, from startups to Fortune 100 companies, and to diverse audiences from C-level executives to students in public courses and/or been in client facing technical consulting/educating type role.
- Experience creating, maintaining and/or delivering content in a fast-moving technology area, while also being comfortable working in a fast growing, dynamic and sometimes ambiguous environment.
- Experience instructing/teaching developers/technical students in adopting new technologies.
지원서접수
접수기간
02월 04일 00:00 ~ 03월 09일 14:40
(채용시 조기 마감될 수 있습니다)
02월 04일 00:00 ~ 03월 09일 14:40
(채용시 조기 마감될 수 있습니다)
* 마감일은 기업의 사정으로 인해 조기 마감 또는 변경될 수 있습니다
