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
Arrage training session and prepare training document to train business user of reporting tool such as Power BI
Qualifications
Education: Bachelor in Computer science, Information Systems, or a related field.
Experience: 1-3 years
Good English Communication (Speaking/Listening/Reading/Writing)
Modorate 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., PostgreSQL, MySQL) and NoSQL databases
Modorate 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
Benefits:
International working environment (100% foreign investment)
Housing and transportation allowance
Company shuttle (inside province)
Lunch at canteen
Uniform, Laptop
Health insurance
Social insurance and unemployment insurance as state regulations
Annual leave and annual bonus
Learning and professional development oppoturnities