Data Management Specialist (Python SQL Prompt Engineering UAT Data Governance)

Singapore 9 days agoFull-time External
327.4k - 436.5k / yr
OverviewMaltem Asia is seeking a Data Management Specialist for a Wealth Management Client based in Singapore. SummarySupporting the Enterprise Data Services project, you will perform the Data Management aspect for the enterprise data distribution channel.You will possess good business knowledge of the financial industry.Experience with programming will be an added advantage.Key responsibilitiesWork closely with business stakeholders, data engineers and platform team to implement and support data distribution solution.Leverage on technology to design an optimal onboarding process with clear visibility of the various lifecycle of a product.Contribute, influence, and validate the design of data distribution solution to ensure they meet both business and operational needsPerform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.Document the business requirements clearly.Perform user acceptance testing on the data distribution channel and ensure that it meets the requirements.Participate in building new product capabilities and shaping the new features.Identify opportunities for continuous improvement in assigned area of work.Skills - Must HavePossess a degree in Computer Science/Information Technology or related fields.Proficient in:PythonSQLPrompt EngineeringPossess an ownership mindset to the problem and be outcome driven.Good problem solving skills with ability to provide sound, feasible solutions to problems; be resourceful and conduct fact-finding and thorough analysis.Strong advocate of the product, understand how to resolve business problems with the current capabilities.Proactively identify areas of improvement in processes, communication and generating insights for better decision-making.Ability to bridge technical terminologies and business use cases.Ability to understand technology landscape, SDLC and IT processes and standards to successfully translate problems (both data and technical) to product requirements.Ability to conduct thorough analysis, fact-finding and design processes and complement with requirements for automation to reduce manual work.Analyze and understand the trade-offs in differing scenarios of a solution outcome.Ability to clearly communicate analyses in solution proposals and recommendations.Ability to breakdown problem to execution step-by-step, leverage on AI and prompt engineering.