Data Engineer

About the role:

• Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
• Contribute, influence, and validatethe design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such ascollation of metadata, analysis of system operations data(e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs

Your Background:

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 3 years of relevant experience indata management, data analytics, data engineering user.Preferably withininvestment and bankingindustry.
• Good understanding of theprinciples, key controls and processesrelating todata managementas wellas data integration and data distribution.
• Good knowledge and experience in programming languages such asPython, Java, SQLetc.
• Familiarity withdata virtualization tool such as Denodois advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Excellent written and verbal communication skills.
• Strong interpersonal skill and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving.
• Experience with theSystems Development Life Cycle (SDLC) implementationmethodology and/or Agile methodologies likeScrum and Kanban.