Data Engineer
6 months ago
**Mô tả công việc**:
(Mức lương: Thỏa thuận)
- Design, build, and manage databases, data warehouses, and data lakes.
- Develop data pipelines to collect, store and analyze data from various sources automatically.
- Ensure data consistency, quality and accessibility.
- Work closely with data analysts, data scientists, and other departments to understand data needs and provide solutions.
- Optimize data structures and data processing processes to improve performance and availability.
- Updated with new technology and trends in the data field for continuous improvement of the system.
**Chức vụ**: Nhân viên/Chuyên viên
**Hình thức làm việc**: Toàn thời gian
**Quyền lợi được hưởng**:
- Attractive income.
- Pay your full salary in two months of probation.
- Review salary once per year.
- 12 days of annual leave.
- Year-end bonus/ performance bonus based on the business performance.
- Birthday gift: 1.000.000 VND.
- Social, Health and others Insurance are based on Labor Law and Health insurance PVI.
- Activities: Company Trip, Year End Party, Sport (football, badminton, running club...), Christmas, Charity activities,...
- Good work environment and working in a professional, friendly, well-equipped
environment.
- Chances to work in a big and global team, working directly with customers.
**Yêu cầu bằng cấp (tối thiểu)**: Đại Học
**Yêu cầu công việc**:
- Bachelor's degree in Computer Science, Engineering, Statistics, or a related field.
- Proficiency in programming languages such as Python, Java, Scala.
- Proficient in SQL and NoSQL, as well as Big Data technologies like Hadoop and Spark.
- Experience with ETL tools and data platforms like AWS Redshift, Google BigQuery, Snowflake.
- Solid understanding of database theory and practical experience with data modeling.
- Ability to analyze and solve problems in a creative manner.
- Strong communication and teamwork skills.
- Ensure the performance and reliability of the data system.
- Optimize the efficiency of data processes and pipelines.
- Assess the support level and satisfaction of data users.
**Yêu cầu giới tính**: Nam/Nữ
**Ngành nghề**: CNTT - Phần Mềm,Data Analytics,SQL
Đại Học
Không yêu cầu
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