Position: Data Engineer
Location: Central
Duration: 12 Months (renewable)
Job description:
Responsibilities: Support Central Data Service Layer (CDSL) project
- Work closely with business (research analysts, quantitative strategists, 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 relationships to ensure continuous support and knowledge for existing and future data lifecycle needs.
Skillset (Must have) –
- Possess a degree in Engineering, Computer Science/Information Technology, or related fields from a recognized tertiary institution.
- At least 3 years of relevant experience in data management, data analytics, or data engineering.
- 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 tools such as Denodo is advantageous.
- Good at working with details and meticulous in operations.
- Able to design and implement solutions, and perform code reviews.
- Experience with the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
