Mô tả công việc

• Manage data projects by being a liaison between the business and IT.
• Develop time estimates for assigned tasks.
• Develop SSIS projects to handle ETL, transmission, encryption, and archiving of files received and generated.
• Design, develop, and maintain database tables, stored procedures, and supporting objects.
• Build and support operational reports for company and clients.
• Document database topology, architecture, processes, and procedures.
• Develop SQL queries and support ad hoc data requests.
• Assist with capacity planning and resource expansion through data aggregation and analysis.
• Work with project managers to ensure that reports and metrics identify business needs and opportunities for process improvement.
• Identify inefficiencies in the database platform and provide solutions to management.
• Use problem-solving skills to assist in the timely resolution of business problems.
• Use analytical skills to resolve technical problems.
• Identify root causes for problems and propose solutions to prevent recurrence.

Benefits and Incentives:

• Opportunity to travel to client sites in the Silicon Valley and other interesting locations 
• Competitive salary 
• Annual salary review 
• Laptop support policy
• 13-month salary 
• Overtime salary
• Five working days per week
• Social insurance contribution according to high salary
• Excellent Benefits: holiday bonus, birthday gift, team building, health care examination, big annual year-end party every year, sport activities, ...
• Dynamic and comfortable working environment.

Yêu cầu công việc

• BS with 7+ years MS SQL experience.
• Thorough understanding of database structures, theories, principles and practices.
• Ability to write & troubleshoot SQL code & design stored procedures, functions, tables, views, triggers, indexes, & constraints.
• Extensive knowledge of MS SQL Server 2012/2014/2019.
• Expert Knowledge of SSIS Required
• Experience with C#
• Experience with MySQL a plus
• Technical knowledge of MS SQL Server internals with emphasis on query performance.