- Chi tiết công việc
- Giới thiệu công ty
Mức lương: Thoả thuận
Loại hình: Toàn thời gian
Chức vụ: Nhân viên
Kinh nghiệm: 1 năm
Mô tả công việc
Automate and optimize data pipelines
Perform ETL tasks for the data warehouse, optimizing queries for those tasks
Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed
Prepare and analyze raw data for manipulation by data scientists, interpret trends and patterns
Create data tools for analytics and data scientist team members
Work with cloud infrastructure (AWS) and assist SRE (site reliability engineering) team in the deployment.
Explore new data products.
Build analytic reports.
Build the data platform infrastructure with Terraform
Perform ETL tasks for the data warehouse, optimizing queries for those tasks
Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed
Prepare and analyze raw data for manipulation by data scientists, interpret trends and patterns
Create data tools for analytics and data scientist team members
Work with cloud infrastructure (AWS) and assist SRE (site reliability engineering) team in the deployment.
Explore new data products.
Build analytic reports.
Build the data platform infrastructure with Terraform
Yêu cầu công việc
At least 1.5 years of experience in this role
Know and understand SQL and database architectures that can help to do ETL tasks effectively.
Understanding DevOps and Cloud Infrastructure can help to design, and create necessary infrastructure for the task.
Know and understand AWS big data services: Athena, GlueETL, Redshift, DMS
Experience working with Terraform
Know how to construct data mining, and data pipelines and utilize cloud platforms
Critical thinking skills
Numerical and analytical skills
Strong knowledge of probability and statistic
Having project management and organizational skills is a bonus
Experience supporting and working with cross-functional teams in a dynamic environment
Open-minded and willing to work in an international team
Good at speaking English
Having the following skill/experience/certification is a bonus
Data Engineering certifications about Microsoft, IBM, and Cloudera.
Data Management Association International (DAMA) or Certified Data Management Professional (CDMP) certification.
Know and understand SQL and database architectures that can help to do ETL tasks effectively.
Understanding DevOps and Cloud Infrastructure can help to design, and create necessary infrastructure for the task.
Know and understand AWS big data services: Athena, GlueETL, Redshift, DMS
Experience working with Terraform
Know how to construct data mining, and data pipelines and utilize cloud platforms
Critical thinking skills
Numerical and analytical skills
Strong knowledge of probability and statistic
Having project management and organizational skills is a bonus
Experience supporting and working with cross-functional teams in a dynamic environment
Open-minded and willing to work in an international team
Good at speaking English
Having the following skill/experience/certification is a bonus
Data Engineering certifications about Microsoft, IBM, and Cloudera.
Data Management Association International (DAMA) or Certified Data Management Professional (CDMP) certification.
Quyền lợi được hưởng
Salary: Upto 45M
An international, professional, young but innovative and dynamic environment working closely with international experts and joining conferences and workshops on exciting new technologies.
Full benefits for employees according to the Vietnam Labor Laws: social and health insurance
Holidays based on Vietnamese labor law + paid vacations
An international, professional, young but innovative and dynamic environment working closely with international experts and joining conferences and workshops on exciting new technologies.
Full benefits for employees according to the Vietnam Labor Laws: social and health insurance
Holidays based on Vietnamese labor law + paid vacations
Thông tin khác
Cấp bậc
Nhân viên
Kinh nghiệm
1 năm
Số lượng tuyển
1 người
Hình thức làm việc
Toàn thời gian
Giới tính
Không yêu cầu
Nhân viên
Kinh nghiệm
1 năm
Số lượng tuyển
1 người
Hình thức làm việc
Toàn thời gian
Giới tính
Không yêu cầu
Thông tin chung
- Mức lương: Thỏa thuận
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 13/10/2024
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