RQ25-250516-057 - Data Engineer

Responsibilities:

• 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 validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation 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, analyse, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in the assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Requirements

Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.

3 to 7 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.

Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.

Good knowledge and experience in programming languages such as Python, Java, SQL etc.

Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is 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 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 in the Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.

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