Senior Data Engineer (English fluent)
Hạn nộp hồ sơ: 18/11/2026 (Còn 58 ngày)
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Data Engineer
Working Place
SmartOSC Hồ Chí Minh: Tầng 2, Cao ốc Tuổi Trẻ, 60A Hoàng Văn Thụ
SmartOSC Đà Nẵng: Tòa ICT 1, Công viên công nghệ phần mềm số 2, lô A3, Đà Nẵng
Key Deliverables & Responsibilities
Data Platform & Engineering:
Design, develop, and maintain scalable ETL/ELT pipelines.
Build and optimize batch and real-time data ingestion frameworks.
Develop enterprise data lake and data warehouse solutions.
Ensure high data quality, governance, reliability, and observability.
Implement data modeling for analytics, reporting, and AI/ML use cases.
Optimize performance and cost efficiency of cloud-based data platforms.
AI & Analytics Enablement:
Prepare clean and reliable datasets for AI/ML initiatives.
Collaborate with Data Scientists and AI Engineers for feature engineering.
Enable customer analytics, personalization, demand forecasting, and operational optimization.
Governance & Security:
Implement data governance, lineage, and access controls.
Ensure compliance with security and privacy standards.
Monitor and troubleshoot data quality and pipeline issues.
Collaboration:
Work closely with Product Owners, Architects, DevOps, QA, and business teams.
Participate in solution design, estimation, and technical discussions.
Provide technical guidance and mentoring to junior engineers.
Requirements
Technical Skills
Strong experience with SQL and data modeling.
Proficiency in Python, Scala, or Java.
Experience building ETL/ELT pipelines using tools such as Apache Spark, Airflow, dbt, Kafka, NiFi, or Talend.
Hands-on experience with cloud platforms including AWS, Azure, or GCP.
Experience with modern data stack technologies such as Snowflake, Databricks, Redshift, BigQuery, or Synapse.
Experience with CI/CD and DevOps practices.
Understanding data governance and data quality frameworks.
Preferred Qualifications
Bachelor's degree in computer science, Data Engineering, or related field.
7+ years of experience in Data Engineering, have experience in retail or telco domain is a plus.
Experience with streaming and real-time architecture.
Experience supporting AI/ML platforms.
Knowledge of microservices and event-driven architecture.
Strong communication and stakeholder management skills.
Benefits
At SmartOSC, we offer the best to your values:
Attractive salary package (Upto 80M)
Salary review twice a year
Flexible working hours (between 7:30am - 7:30pm on staff's preference)
Premium health care
Working in one of the largest digital transformation agencies in Asia - Professional English environment
Firm's Certified Qualifications Sponsorship for career development
Annual company trip inside or outside Vietnam
Other fun activities: happy hour, quarterly team building, football club, yoga club, swimming club,
charity activities, etc.
Free entertainment parties: Birthday party, Anniversary party, Sum-up Party, Year-End Party, etc
To Apply
Please submit your CV to [protected info] with the following information:
Job application letter with "Data Engineer" in the subject line.
Updated CV in English, including your contact email and phone number.
Working Place
SmartOSC Hồ Chí Minh: Tầng 2, Cao ốc Tuổi Trẻ, 60A Hoàng Văn Thụ
SmartOSC Đà Nẵng: Tòa ICT 1, Công viên công nghệ phần mềm số 2, lô A3, Đà Nẵng
Key Deliverables & Responsibilities
Data Platform & Engineering:
Design, develop, and maintain scalable ETL/ELT pipelines.
Build and optimize batch and real-time data ingestion frameworks.
Develop enterprise data lake and data warehouse solutions.
Ensure high data quality, governance, reliability, and observability.
Implement data modeling for analytics, reporting, and AI/ML use cases.
Optimize performance and cost efficiency of cloud-based data platforms.
AI & Analytics Enablement:
Prepare clean and reliable datasets for AI/ML initiatives.
Collaborate with Data Scientists and AI Engineers for feature engineering.
Enable customer analytics, personalization, demand forecasting, and operational optimization.
Governance & Security:
Implement data governance, lineage, and access controls.
Ensure compliance with security and privacy standards.
Monitor and troubleshoot data quality and pipeline issues.
Collaboration:
Work closely with Product Owners, Architects, DevOps, QA, and business teams.
Participate in solution design, estimation, and technical discussions.
Provide technical guidance and mentoring to junior engineers.
Requirements
Technical Skills
Strong experience with SQL and data modeling.
Proficiency in Python, Scala, or Java.
Experience building ETL/ELT pipelines using tools such as Apache Spark, Airflow, dbt, Kafka, NiFi, or Talend.
Hands-on experience with cloud platforms including AWS, Azure, or GCP.
Experience with modern data stack technologies such as Snowflake, Databricks, Redshift, BigQuery, or Synapse.
Experience with CI/CD and DevOps practices.
Understanding data governance and data quality frameworks.
Preferred Qualifications
Bachelor's degree in computer science, Data Engineering, or related field.
7+ years of experience in Data Engineering, have experience in retail or telco domain is a plus.
Experience with streaming and real-time architecture.
Experience supporting AI/ML platforms.
Knowledge of microservices and event-driven architecture.
Strong communication and stakeholder management skills.
Benefits
At SmartOSC, we offer the best to your values:
Attractive salary package (Upto 80M)
Salary review twice a year
Flexible working hours (between 7:30am - 7:30pm on staff's preference)
Premium health care
Working in one of the largest digital transformation agencies in Asia - Professional English environment
Firm's Certified Qualifications Sponsorship for career development
Annual company trip inside or outside Vietnam
Other fun activities: happy hour, quarterly team building, football club, yoga club, swimming club,
charity activities, etc.
Free entertainment parties: Birthday party, Anniversary party, Sum-up Party, Year-End Party, etc
To Apply
Please submit your CV to [protected info] with the following information:
Job application letter with "Data Engineer" in the subject line.
Updated CV in English, including your contact email and phone number.
Thông tin chung
- Thu nhập: Thỏa thuận
Việc làm tương tự khác
CÔNG TY CỔ PHẦN TƯ VẤN VÀ PHÁT TRIỂN PHẦN MỀM LARION
Hồ Chí Minh
Thỏa thuận
Công ty TNHH Simpson Strong-tie Việt Nam
Hồ Chí Minh
Thoả thuận
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Smart OSC _ HCM
Xem trang công ty- Địa chỉ công ty: Hado Airport Building - 02 Hồng Hà, Tân Bình, HCM
- Quy mô: Từ 101 - 500 nhân viên
- Lĩnh vực: IT phần mềm, Thương mại điện tử
Thông tin công việc
Vị trí:
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CÔNG TY TNHH HÀNG KHÔNG MẶT TRỜI PHÚ QUỐC
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Thương lượng
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