Hồ Chí Minh (On-site)
Nghỉ trọn T7, CN
Hạn chót 18/10/2026
Đăng 19 ngày trước
• Experience: Ideally 3-5 years in data engineering, ETL/ELT, data warehouse or BI engineering. Candidates with 3+ years may be considered if they have strong hands-on delivery experience.
• Strong SQL for querying, transformation, troubleshooting and performance tuning.
• Good Python skills for data processing, automation or API-based integration.
• Hands-on experience building ETL/ELT pipelines and working with production data issues.
• Understanding data warehouse design, fact/dimension modeling and business reporting needs.
• Comfortably using Git, writing technical documentation and communicating with non-technical stakeholders.
• Experience with Azure Data Services, Microsoft Fabric, Databricks, Airflow, dbt, Spark or similar modern data platforms.
• Experience with Power BI datasets, semantic models or supporting reporting teams.
• Background in hospitality, casino/gaming, retail, loyalty, finance or other transaction-heavy environments.
• Working knowledge of business metrics such as ADR, RevPAR, Drop, Handle, Theo Win, Hold% or P&L reconciliation.
• Build and maintain data pipelines
• Build, enhance and troubleshoot ETL/ELT pipelines using SQL and Python.
• Transform raw operational data into clean, reusable datasets for reporting and analytics.
• Create data quality checks, reconciliation logic, logs and restartable processing steps.
• Work with real business systems
• Integrate data from Casino/CMS, Opera PMS, Symphony/Micros POS, finance/ERP, loyalty and Microsoft 365 sources.
• Understand source-system changes and update mappings before reports break.
• Protect guest gaming and financial data through practical access control and careful data handling.
• Own delivery, not just code
• Work with IT, business users and vendors to clarify requirements and turn them into working data solutions.
• Review vendor deliverables, source code, data mappings, test evidence and documentation before acceptance.
• Keep core knowledge in-house through clear documentation, reusable code and proper handover materials.
• Support production issues, investigate root causes and propose permanent fixes.
• Improve performance and reliability
• Tune SQL queries, indexes, partitions and pipeline design for better speed and lower operational risk.
• Mentor junior or associate engineers through code review, pairing and practical troubleshooting.
• Giờ làm việc: 09:00 - 18:00 • Cấp bậc: Nhân viên (executive)Nếu bạn đang tìm kiếm vị trí Senior Data Engineer - Enterprise DWH tại Hồ Chí Minh, đây là cơ hội làm việc tại The Grand Ho Tram với mức lương cạnh tranh và môi trường làm việc chuyên nghiệp. Ngoài tin tuyển dụng này, Upzi còn cập nhật nhiều việc làm cùng lĩnh vực và địa điểm mỗi ngày.
Accident Insurance
Lương không công khai
Bình Dương, Hồ Chí Minh (On-site)
Nghỉ trọn T7, CN
25.36 - 50.72 triệu VNĐ
Hồ Chí Minh (On-site)
Nghỉ trọn T7, CN
