Job Description

Job Role/LevelData EngineerQuantity 1Mandatory Skills

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

• At least 3 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.

• Familiarity with data virtualization tool 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 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 the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

Skillsets (Good to have)Brief \xe2\x80\xa2 Support Central Data Service Layer (CDSL) projectResponsibilities:

• 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, 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.

Work Location Tanjong Pagar

ITCAN