
Data Engineer, Expert
Kỹ Năng & Tech Stack Yêu Cầu
Nội Dung Tuyển Dụng & Đãi Ngộ
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Mô Tả Chi Tiết
Mô Tả & Trách Nhiệm Công Việc
Lead the Data Engineering & Support function: set priorities, allocate resources between projects and production support, and mentor and develop data engineers. Own the datamart, pipeline and data platform architecture, including data warehouse/lakehouse design, scalable ETL/ELT pipelines and integrations with core systems and partners. Oversee production support and intake management: ensure stable pipelines through monitoring, incident management and SLA tracking, and run a structured intake process for data requests. Set engineering standards and CI/CD practices for data, and review designs, code, builds and integrations before release with built-in data quality checks. Manage the data backbone (non-infra) for reliability, freshness and performance, and report delivery KPIs (on-time delivery, incidents, SLA, data quality) to the line manager. Bachelor's degree or higher in Computer Science, Information Technology, Software/Computer Engineering or a related field. 10+ years in data engineering, including team leadership and data platform architecture; insurance, banking or financial services experience is an advantage. Cloud data certification (Azure / AWS / GCP, e.g. Azure Data Engineer Associate, AWS Data Engineer, Google Professional Data Engineer) is preferred. Ngành nghề: Ngân hàng, Bảo hiểm, Chứng khoán Kinh nghiệm: 10 Năm Cấp bậc: Trưởng nhóm / Giám sát Hình thức: Nhân viên chính thức Địa điểm: Hà Nội
Tra Cứu Lương Thị Trường
Xem bảng phân vị mức lương Median, p25 và p90 cho vị trí MID Data Engineer, Expert tại Vietnam.
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