Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Quận Tân Bình, Hồ Chí Minh, Hồ Chí Minh
Tổng quan
- Understand business requirements and translate them into appropriate data models and technical solutions.
- Build and maintain clean, reusable analytical datasets and data models.
- Develop SQL and Python workflows for data transformation, validation, reconciliation and automation.
- Convert recurring manual processes into tested and reproducible workflows.
- Establish automated checks for data completeness, freshness, consistency and accuracy.
- Investigate data-quality issues and coordinate with relevant teams to resolve their root causes.
- Maintain data dictionaries, metric definitions, lineage documentation and naming standards.
- Apply version control, testing and code-review practices.
- Improve the accessibility and discoverability of trusted data.
- Support analysts and business users in using data correctly and consistently.
- Communicate technical decisions, limitations and trade-offs to technical and non-technical stakeholders.
- Use approved AI agents to accelerate data exploration, coding, testing and documentation.
- Independently review AI-generated work and protect confidential or personal information.
- Your Skills and Experience
- At least three years of hands-on experience in analytics engineering, data engineering, advanced analytics or a closely related position.
- Strong SQL skills, including complex joins, aggregations, window functions and data-quality investigation.
- Practical Python experience for data processing, automation and validation.
- Experience organizing fragmented or inconsistent data into maintainable analytical datasets.
- Understanding of data modeling and ETL/ELT workflows.
- Experience implementing data-quality checks and troubleshooting data issues.
- Experience with Git or another version-control system.
- Strong documentation and problem-solving habits.
- Professional English communication skills.
- Ability to work independently while collaborating effectively with technical and business teams.
- Demonstrated ability to use AI-assisted tools responsibly and verify their output independently.
- Why You'll Love Working Here
- Challenging
- Supportive
- Collaborative
- Innovative
Quyền lợi
- Supportive working environment
- Annual company trip
- Free English class to support for English study
- Company health insurance.
- General company activities (birthday party, football...).
- Full of snacks, fruits, ... in the kitchen to help yourself during work time.
- Career growth opportunities.
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