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

Summary

Build and maintain ETL pipelines, data warehouses, and lakes using Databricks and AWS to support healthcare analytics and reporting for a public health system.

Job ID: 10171

Job Function: Administration

Institution: National University Health System

Responsibilities
  • 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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