jobs in National University Health System

全职 Senior Executive (Data Engineer), AIO Management Decision Support Office 工作, 薪水, National University Health System 公司招聘中 - Ricebowl

Senior Executive (Data Engineer), AIO Management Decision Support Office

National University Health System

Undisclosed

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

  • Data Pipeline Development & Management
  • Design, develop, and maintain robust ETL/ELT pipelines to process large volumes of structured data
  • Implement batch data processing solutions using Databricks
  • Monitor data pipeline performance and troubleshoot issues to ensure reliable data flow
  • Optimize existing pipelines for improved performance and cost efficiency
  • Data Architecture & Infrastructure
  • Collaborate with senior engineers to design and implement scalable data architectures
  • Build and maintain data warehouses, data lakes, and cloud-based storage solutions
  • Ensure data quality, consistency, and reliability across all systems and datamarts
  • Implement data governance best practices and security protocols defined by MOH HIM policies and DGPO
  • Technical Implementation
  • Develop and maintain notebooks for data access and integration
  • Write clean, efficient, and well-documented code following best practices
  • Implement automated testing and deployment processes for data pipelines
  • Collaboration & Communication
  • Partner with data scientists, analysts, clinical and business stakeholders to understand data requirements
  • Provide technical guidance on data availability, limitations, and best practices to stakeholders
  • Document data transformation processes, onboarding processes and automation processes
  • Participate in code reviews and contribute to team knowledge sharing


Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Analytics, or a relevant field of study
  • 1-3 years of experience in data engineering or a related role
  • Proficient in SQL and at least one programming language (Python, Java, Scala)
  • Decent understanding of data warehousing concepts and ETL processes
  • Familiarity with cloud platforms such as AWS and Databricks
  • Familiarity with Git commands and Unix/Linux system experience
  • Experience with data visualization tools (Tableau, Power BI)
  • Strong analytical and problem-solving skills
  • Familiar with database management, architecture design, system integration, security and data governance
  • Good interpersonal skills, a detail-oriented and flexible person who can work across different areas within the team as well as align cross functionally outside the team
  • Ability to deliver clear, concise reports and presentations/dashboards and effectively articulate observations and recommendations

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