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Senior Executive (Data Engineer), AIO Management Decision Support Office
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Senior Executive (Data Engineer), AIO Management Decision Support Office
NUHS Singapore1-3 Years
Early Applicant
- Posted 15 days ago
- Be among the first 10 applicants
Job 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
More Info
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About Company
Skills:
Azure Data Factory, AWS Glue, Apache Spark, Apache Kafka, Databricks, Python, Sql, Airflow, dbt, Google Dataflow
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Skills:
Python, Sql, Databricks, AWS Glue, Azure Data Factory, Apache Spark, Apache Kafka, Google Dataflow, Airflow, dbt
Skills:
.NET, Sql, Django, Vue, Tableau, React, Machine Learning, Power Bi, Data Analytics, Angular, Node.js, full stack development, Gcp, Git, AWS, FastAPI, Python, Docker, Microsoft Azure, Restful Apis, Azure OpenAI, LLMs, OpenAI, CI CD, LangChain, data visualization tools, microservices architecture, NoSQL databases, Generative AI
Senior Executive/Assistant Manager (Data Analytics Engineer), AIO Innovation Office (Contract)National University Health System
Skills:
Spotfire, Azure ML, Docker, Tableau, Databricks, Sql, Kubernetes, SageMaker, MLflow