- The successful candidate will be supporting the Central Data Service Layer project
- Work closely with business (Research Analysts, Quantitative Strategist, end-users, etc.), Data Engineers, and 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.
- Possess a degree in Accounting, Finance, 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 change.
- 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.
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Data Engineer - Singapore - MALTEM ASIA PTE. LTD.
Description
Roles & ResponsibilitiesMaltem Singapore is currently seeking a Data Engineer for our Wealth Management Client.
Summary :
Responsibilities:
Must Have:
Kanban
Scrum
Data Management
Agile Methodologies
Data Integration
SDLC
Data Quality
Data Governance
Complex Problem Solving
Access Control
Data Engineering
SQL
Denodo
Python
Metadata
Java
Virtualization