ABOUT COMPANYA subsidiary of the FPT Group, FPT Software is known as a leading global information technology service provider headquartered in Vietnam. With over 33,000 employees working in 83 offices across 30 countries on five continents, FPT Software consistently delivers the best solutions to more than 1000 clients, including 100 Fortune 500 companies. Placing human resources as the cornerstone of its achievements, employee experience is our top priority in continually creating an innovative, open, and enjoyable work environment for every member.
In 2023, FPT Software officially made its mark on the global billion- dollar company list. This is evidence of the talent and efforts of multiple generations of employees at FPT Software.
JOB OVERVIEW
• Enterprise Technology Application Development team, working alongside our team to drive innovation across tools throughout the organization. The successful candidate will work closely with onshore colleagues, focusing on delivering innovative solutions. A strategic mindset, strong problem- solving skills, and deep knowledge of emerging trends—especially in AI/ML adoption across business applications—are highly valued for this role.
• We are seeking a highly skilled, innovative, and collaborative Sr Data Engineer/Scientist. The selected candidate will be a member of the Offshore
RESPONSIBILITIES
• Develop and deploy the technical data flow architecture for the company’s business applications, ensuring alignment with strategic goals
• Collaborate and implement advanced data management and integration solutions to drive innovation and increase productivity
• Participate in 24/5 development methodology – provide some overlap with onshore team to ensure continuity of development throughout the day when onshore team is offline.
• Ensure integration of emerging technologies and trends including AI/ML into business applications where applicable.
• Design and implement a data warehousing architecture, ETL/ELT processes, and integration of third- party applications while ensuring data accuracy, and establishing best practices across the organization.