Senior Executive (Data Engineer), AIO Management Decision Support Office
National University Health SystemJob Description
- 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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