Toàn thời gian 30 lượt xem
  • TP. Hồ Chí Minh Cấp bậc:   Nhân viên
  • Mức lương:   Thỏa thuận
  • Ngày đăng: 2023-10-31 06:47:47 Ngày hết hạn: 2023-11-30 06:47:47
  • Ngành nghề : Công nghệ số - CNTT - IT - Phần mềm - Thiết kế đồ hoạ web -phần cứng/mạng

Mô tả công việc

AIActiv aims to build a unified data platform for the Vietnamese market to share and utilize data from multiple sources. Your task is to understand, collect, transform, and provide valuable datasets for further usage of other stakeholders. We are expecting a committed data analytics engineer to join our team to make Vietnamese people happier.


  • Clean, transform, and analyze data.
  • Design data processing algorithms.
  • Manage data versions.
  • Providing insights into the data.
  • Communicating with stakeholders to serve business requirements

Quảng cáo / Dành cho nhà tài trợ
Liên hệ: E-mail:
Điện thoại: (028) 38971633

Yêu cầu

Technical knowledge/ Competency: 

  • Experience in programming languages. Apart from SQL, it is a big plus for such a specialist to know more advanced “data” languages like R and Python to handle various data orchestration tasks.
  • The dbt technology knowledge. As a rule, analytics engineers are expected to know how to work with dbt — a transformation command tool that allows implementing analytics code using SQL.
  • Knowledge of software engineering best practices. Analytics engineers must be well aware of how to adopt software engineering best practices and apply them to analytics code.
  • Git expertise. As the most commonly used version control system, Git should necessarily be within the tools a good analytics engineer is comfortable working with. It keeps track of any changes done to data and allows multiple users to make changes.
  • Data engineering and BI tools knowledge. It is a big plus if your future analytics engineer has hands-on experience with tools for building data pipelines. The list may include data warehouses like Snowflake, Amazon Redshift, and Google BigQuery; ETL tools like AWS Glue, Talend, or others; Business Intelligence tools like Tableau, Looker, or equivalent.
  • Interpersonal and communication skills. Being able to ask the right questions in an appropriate way is crucial to enable analytics engineers to excel in this career. They interact with different team members and other stakeholders on a regular basis, so employers should always check interpersonal skills.



Đ/c: 222 Pasteur, Phường Võ Thị Sáu, Quận 3, TP Hồ Chí Minh, Việt Nam(+84) 28 3824 1919


Phúc lợi

Lương: Thỏa thuận