Top Tech Jobs & Startup Jobs in Singapore

The Transaction Monitoring Engine Specialist is responsible for designing and developing AI/ML models for transaction monitoring, analyzing datasets for trends, optimizing monitoring systems, ensuring regulatory compliance, and collaborating with cross-functional teams. They also prepare documentation and provide training on monitoring tools.

The Full Stack Developer will design, develop and maintain scalable applications using Big Data technologies. Responsibilities include building responsive UIs, implementing back-end services in Java, collaborating in Agile teams, troubleshooting production issues, and participating in code reviews.

As a Data Engineer, you will design and implement data solutions focusing on developing ETL processes, conducting data mapping, optimizing performance, and ensuring data quality. Your role involves collaboration with stakeholders and documenting processes for future reference.

The Oracle Integration Developer is responsible for designing, developing, and implementing Oracle integration solutions, ensuring a seamless data flow across systems, and creating customized reports. Key tasks include developing integrations using ODI and OIC, optimizing SQL/PLSQL queries, and collaborating with teams for technical solutions.

Responsible for leading business and technology outcomes for assigned program, project, or contracted service. Manage project team, ensure timely delivery of project milestones, and deliver projects within budget. Expertise in Program Project Management, Business Process Design, M&A Integration Management Office, M&A Tech Integration Change & Comms, and Requirements Analysis advantageous. Provide regular project status updates to stakeholders and senior management.

The Sales Coordinator will support regional sales teams by managing sales data pipelines, assisting in data integration, and providing insights to optimize sales performance using cloud technologies. The role involves coordinating communication, designing dashboards, and collaborating with cross-functional teams to drive improvements in sales operations.

The Data Engineer will design, implement, and maintain ETL processes, manage data mapping documentation, collaborate with stakeholders to meet data requirements, conduct data quality checks, optimize workflows, and troubleshoot issues. They will also stay updated on best practices in data engineering.