Analytics Engineer
Hạn nộp hồ sơ: 04/09/2026 (Còn 23 ngày)
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Mô tả công việc
Tóm tắt công việc
We are looking for Analytics Engineers who can transform raw and fragmented data into reliable, well-structured and reusable data products.
This position combines analytics, data engineering and data-quality responsibilities. You will use SQL, Python and AI-assisted tools to build dependable datasets, automate recurring work and make data easier for analysts and business teams to understand and use.
We value a strong data-organization mindset: clear definitions, consistent naming, documented ownership, traceable lineage, automated quality checks, version control and reproducible work.
Responsibilities:
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.
We are looking for Analytics Engineers who can transform raw and fragmented data into reliable, well-structured and reusable data products.
This position combines analytics, data engineering and data-quality responsibilities. You will use SQL, Python and AI-assisted tools to build dependable datasets, automate recurring work and make data easier for analysts and business teams to understand and use.
We value a strong data-organization mindset: clear definitions, consistent naming, documented ownership, traceable lineage, automated quality checks, version control and reproducible work.
Responsibilities:
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.
Yêu cầu
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.
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.
Thông tin khác
Python
MS SQL
Data Analysis
Git
ETL
ELT
MS SQL
Data Analysis
Git
ETL
ELT
Thông tin chung
- Thu nhập: Thỏa Thuận
Nơi làm việc
- 19A Cong Hoa, Floor 3 Scetpa Building, Ho Chi Minh
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Xem trang công ty- Địa chỉ công ty: Scetpa Building, 19a Cong Hoa, TP Hồ Chí Minh
- Quy mô: Từ 10 - 25 nhân viên
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