jobs in Quess Singapore

全职 RQ25-250516-057 - Data Engineer 工作, 薪水 up to SGD 7,000, Quess Singapore 公司招聘中 - Ricebowl

RQ25-250516-057 - Data Engineer

Quess Singapore

SGD3,000 - SGD7,000 每月

Singapore

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工作地点

  • Singapore Singapore

职位描述

岗位职责

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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