Hà Nội (On-site)
Nghỉ trọn T7, CN
Hạn chót 29/10/2026
Đăng 8 ngày trước
Required Qualifications
• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Information Systems, or related field.
• 1 year of experience in data engineering, ETL support, or data analytics and 2 years of experience in database development/administration, software development.
• Good SQL foundation and basic understanding of relational databases, joins, views, indexes, and data structures.
• Basic scripting or programming capability in Python, Java, shell script, or similar language.
• Understanding of ETL/ELT, data integration, data validation, and data quality concepts.
• Strong analytical thinking, attention to detail, learning agility, and clear communication in Vietnamese and English.
Preferred Qualifications
• Exposure to tools such as SSIS - (SQL Server Integration Services), or similar.
• Basic knowledge of cloud data platforms, data lake, data warehouse, or Microsoft Azure services.
• Experience with Power BI, Excel, or other reporting and analytics tools.
• Awareness of data governance, data privacy, metadata, lineage, and access control in financial services or insurance.
Competencies and Success Profile
• Data mindset: Values accurate, complete, secure, and well-controlled data.
• Problem solving: Investigates data issues logically and documents findings clearly.
• Collaboration: Works effectively with IT, business users, vendors, and regional/global technology teams.
• Learning agility: Builds capability in data platforms, cloud tools, and modern engineering practices.
• Control orientation: Follows standards, procedures, change controls, and compliance requirements.
• Preferred and encouraged job holder with AI Readiness, Learning Agility, Digital Mindset
• Be responsible for building, enhancing, and maintaining databases in support of applications across the whole IT system
• Build, maintain, and monitor basic ETL/ELT pipelines from internal and external data sources.
• Prepare data extraction, transformation, validation, reconciliation, and loading for reporting and analytics needs.
• Write SQL queries, scripts, and data checks to support data quality, issue analysis, and operational reporting.
• Support databases, data marts, data warehouse jobs, and production data processes under guidance from senior engineers.
• Document data mappings, procedures, issue logs, and support runbooks for continuity and audit readiness.
• Work with application teams, business analysts, vendors, and reporting users to clarify requirements and resolve data issues.
• Follow MetLife security, access control, change management, and compliance requirements when handling business data.
Nếu bạn đang tìm kiếm vị trí Data Engineer tại Hà Nội, đây là cơ hội làm việc tại BIDV MetLife 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.
Competitive income, performance-based bonus, recognition programs
Healthcare plan for employee and family, paid leave ≥ 18 days, dynamic and flexible working environment, strong team spirit
Ongoing professional training, clear career path, development opportunities
Lương không công khai
Hà Nội (On-site)
Nghỉ trọn T7, CN
Lương không công khai
Hà Nội (On-site)
Nghỉ trọn T7, CN
Lương không công khai
Hà Nội (On-site)
Nghỉ trọn T7, CN
22 - 50 triệu VNĐ
Hà Nội (On-site)
Nghỉ trọn T7, CN
Lương không công khai
Hà Nội (On-site)
Nghỉ trọn T7, CN
Lương không công khai
Hà Nội (On-site)
Nghỉ trọn T7, CN
