Mô tả công việc:
(Mức lương: 16 - 30 triệu VNĐ)

• Design data models and architectures that align with business requirements.
• Develop ETL (Extract, Transform, Load) processes to extract data from multiple sources, transform it into a usable format, and load it into data storage systems for analysis
• Build and manage data warehouses, organizing and storing large volumes of structured and unstructured data for analysis and reporting purposes.
• Collaborate with business user to support design and develop report/dashboard with reporting tools such as Power BI
• Arrange training session and prepare training document to train business user of reporting tool such as Power BI
• Performs related work as required.

Chức vụ: Nhân Viên/Chuyên Viên
Hình thức làm việc: Toàn thời gian
Quyền lợi được hưởng:

• Receive 100% salary during the probation period.
• 13th-month salary, holiday bonuses, and annual salary review.
• Full participation in Social Insurance (SI), Health Insurance (HI), Unemployment Insurance (UI), and health insurance.
• Various other benefits from the company, including team-building activities and monthly/quarterly/annual company events.
• Other benefits as per the Company's Policy and Vietnam Labor Law.

Yêu cầu bằng cấp (tối thiểu): Đại Học
Yêu cầu công việc:

• Major study in computer science, Information Systems, or a related field.
• 0-3 years experience in the relevant positions
• Good English Communication
• Moderate programming skills in languages commonly used in data engineering, such as Python, Java
• Knowledge of data warehouse design, data lake architecture, and dimensional modeling
• Expertise in database technologies, including relational databases (e.g., Postgre SQL, My SQL) and No SQL databases
• Moderate in cloud computing platforms especially Amazon Web Services (AWS)
• Effective communication skills and problem-solving skills
• Willingness to learn and adapt to new technologies, tools, and best practices in the field of data engineering

Yêu cầu giới tính: Nam/Nữ
Ngành nghề: CNTT - Phần Mềm,Data Analytics,Python,SQL