Mô tả công việc
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.
Yêu cầu
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.
Quyền lợi
Bảo hiểm
Xe đưa đón
Chăm sóc sức khỏe
Đào tạo
Chế độ nghỉ phép
Thông tin khác
Nơi làm việc
Ho Chi Minh (Sai Gon Ward, Ho Tram Commune)
Cấp BậcNhân viên
Hình ThứcNhân viên chính thức
Bằng CấpBachelor
Kinh Nghiệm3 Năm
Mức LươngLương thỏa thuận
Ngành nghềFinance / Accounting,Kế toán / Kiểm toán
Hạn chót nhận hồ Sơ30/10/2026
Người Liên Hệ[protected info]
Thông tin chung