Senior Data Engineer
- Thỏa thuận
- 4 năm kinh nghiệm
Hạn nộp hồ sơ: 09/12/2026 (Còn 40 ngày)
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CMC Global is a member of CMC Corporation with an aspiration to bring ICT products, solutions, and services of Vietnam to the international market.
Established in March 2017 as a strategic move of the Corporation to enter the global stage, we are proud to be the leading company in Vietnam in providing a wide variety of comprehensive IT Solutions & Services, ranging from Traditional services to Digital Transformation, as well as Consultancy, to organizations worldwide.
POSITION: Senior Data Engineer - Data Platform
Experience: 4 years
Responsibilities
Design and develop scalable Data Platform solutions supporting AI/LLM pipelines and modern Data Warehouse architectures.
Build and maintain reliable ETL/ELT pipelines for large-scale data processing.
Develop data models and implement data architecture solutions to support analytics and downstream AI applications.
Orchestrate and schedule data workflows using Apache Airflow.
Implement data transformation and modeling workflows using SQL, Python, Snowflake and dbt.
Develop and maintain data pipelines and services using AWS, including S3, Lambda, Glue and ECS.
Implement data quality validation and support prompt/LLM evaluation workflows.
Monitor, troubleshoot and optimize data pipelines for reliability, performance and scalability.
Requirements
4 years of experience in Data Engineering or related fields.
Good English communication skills for effective collaboration with cross-functional teams.
Strong knowledge of Data Warehouse, Data Modeling, ETL/ELT and Data Architecture.
Proficiency in SQL and Python.
Hands-on experience with Snowflake, dbt and Apache Airflow.
Experience with AWS services, particularly S3, Lambda, Glue and ECS.
Exposure to LLM pipelines, data quality validation and prompt/LLM evaluation.
Strong problem-solving skills and the ability to work with cross-functional teams.
Nice to have
Experience with Spark/PySpark or Kafka.
Knowledge of Vector Search, Embeddings or Fine-tuning.
Familiarity with GDPR or SOC 2 compliance requirements.
BENEFITS
Training and career development opportunities.
Compensation package: up to 14 months' salary/year Project bonus (if any).
Extra package: 16 million VND/employee/year (bonuses for Tet, New Year, Birthday, CMC Corp's Birthday, 2/9, Mid-Autumn, etc.).
Salary review: 2 times/year or based on excellent performance.
Opportunity to work with newest technology trends and develop your career in an international environment, building large-scale & global software products.
Onsite opportunities: short-term and long-term assignments in US, EU, Asia.
Paid annual leave: 12 days/year birthday gift.
Full benefits under Vietnamese labor law plus CMC Global's benefits (PTI premium healthcare, company trip, holidays, year-end party, etc.).
Exciting leisure activities: football club, family day, happy hour, art/sport events.
Working hours: 8 hours/day (Mon-Fri), flexible time (check-in 8:00-9:00, check-out 17:00-18:00).
Established in March 2017 as a strategic move of the Corporation to enter the global stage, we are proud to be the leading company in Vietnam in providing a wide variety of comprehensive IT Solutions & Services, ranging from Traditional services to Digital Transformation, as well as Consultancy, to organizations worldwide.
POSITION: Senior Data Engineer - Data Platform
Experience: 4 years
Responsibilities
Design and develop scalable Data Platform solutions supporting AI/LLM pipelines and modern Data Warehouse architectures.
Build and maintain reliable ETL/ELT pipelines for large-scale data processing.
Develop data models and implement data architecture solutions to support analytics and downstream AI applications.
Orchestrate and schedule data workflows using Apache Airflow.
Implement data transformation and modeling workflows using SQL, Python, Snowflake and dbt.
Develop and maintain data pipelines and services using AWS, including S3, Lambda, Glue and ECS.
Implement data quality validation and support prompt/LLM evaluation workflows.
Monitor, troubleshoot and optimize data pipelines for reliability, performance and scalability.
Requirements
4 years of experience in Data Engineering or related fields.
Good English communication skills for effective collaboration with cross-functional teams.
Strong knowledge of Data Warehouse, Data Modeling, ETL/ELT and Data Architecture.
Proficiency in SQL and Python.
Hands-on experience with Snowflake, dbt and Apache Airflow.
Experience with AWS services, particularly S3, Lambda, Glue and ECS.
Exposure to LLM pipelines, data quality validation and prompt/LLM evaluation.
Strong problem-solving skills and the ability to work with cross-functional teams.
Nice to have
Experience with Spark/PySpark or Kafka.
Knowledge of Vector Search, Embeddings or Fine-tuning.
Familiarity with GDPR or SOC 2 compliance requirements.
BENEFITS
Training and career development opportunities.
Compensation package: up to 14 months' salary/year Project bonus (if any).
Extra package: 16 million VND/employee/year (bonuses for Tet, New Year, Birthday, CMC Corp's Birthday, 2/9, Mid-Autumn, etc.).
Salary review: 2 times/year or based on excellent performance.
Opportunity to work with newest technology trends and develop your career in an international environment, building large-scale & global software products.
Onsite opportunities: short-term and long-term assignments in US, EU, Asia.
Paid annual leave: 12 days/year birthday gift.
Full benefits under Vietnamese labor law plus CMC Global's benefits (PTI premium healthcare, company trip, holidays, year-end party, etc.).
Exciting leisure activities: football club, family day, happy hour, art/sport events.
Working hours: 8 hours/day (Mon-Fri), flexible time (check-in 8:00-9:00, check-out 17:00-18:00).
Thông tin chung
- Thu nhập: Thỏa thuận
Việc làm tương tự khác
CMC GLOBAL COMPANY LIMITED
Xem trang công ty- Địa chỉ công ty: CMC Tower, số 11 phố Duy Tân, Phường Dịch Vọng Hậu, Quận Cầu Giấy, Thành phố Hà Nội, Việt Nam
- Quy mô: Từ 1000 - 5000 nhân viên
Thông tin công việc
Vị trí:
Nhân viên
Hình thức làm việc:
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