Develop and maintain database scripts, functions, stored procedures to support application development
Develop and maintain ETL solution
Assist Developers/Testers with database activities
Process the client’s requests, feedback and fix the bugs
Troubleshoot database performance related and tune complex database queries
Participate in database design, ETL architecture design
Review SQL statements and stored procedures written by developers
Attend all regular meetings of the assigned projects
Qualifications
3+ years’ experience in Data Engineering
Good knowledge of SQL, database design and programming
Good knowledge of security and performance in software development
Good problem-solving skill, passionate in software development or developing technical skills are preferred
Able to work independently, help others to solve technical issues
Good knowledge of code quality, coding standard and principles
Strong understanding of coding principles like loosely coupling, dependency injection …
Has knowledge of containerization and cloud platforms such as Azure, AWS or GCP
Understands DevOps practices and is able to build and maintain basic CI/CD pipelines using tools such as Jenkins, GitHub Actions, Azure DevOps, or GitLab CI.
Has knowledge of Generative AI and experience using common AI tools in SDLC, such as GitHub Copilot, Claude Code, Cursor,…
Ability to review and validate the AI outputs before using it
Can perform code review properly
Can do normal documentation and presentation tasks
Able to understand English materials and handle normal English verbal conversation for workrelated matters
Accountable and proactive
Strong experience with two of well-known RDBMS such as SQL Server, Oracle, MySQL, IBMDB2
Good understanding of database architecture, data modelling, schema design and development
Experienced in Data migration, Data Warehousing (ETL) using SSIS, and Business Intelligence tools like Power BI, IBM Cognos, Tableau, etc.
Good knowledge in database sizing, maintenance and performance optimizing
Good knowledge about scalable database development and deployment
Good knowledge of big data, data analytics services on Azure and AWS is a plus
