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Assistant Manager, Data Engineer - Artificial Intelligence Office Job Opening In Singapore, Singapore – Now Hiring National University Health System


Job description

Assistant Manager, Artificial Intelligence Office

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Assistant Manager, Artificial Intelligence Office

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Overview
Central Data Engineering Office (CDEO) in NUHS aims to support NUHS in its efforts to build a data-centric culture and enable faster, well-organised and more impactful data.

The office supports NUHS’s goals of “Digital by Default” and “Everyone an Innovator”, and forms part of NUHS’s Data Strategy.

Overview
Central Data Engineering Office (CDEO) in NUHS aims to support NUHS in its efforts to build a data-centric culture and enable faster, well-organised and more impactful data.

The office supports NUHS’s goals of “Digital by Default” and “Everyone an Innovator”, and forms part of NUHS’s Data Strategy.
Data Engineering (DE) involves the designing, building and managing of infrastructure for collecting, storing and processing large volumes of data efficiently.

Data engineering transforms raw data into data assets.

Data engineering is a foundational function for effective data analytics and AI capabilities.
We are seeking an Executive/Snr Executive/Assistant Manager to support CDEO.

The successful candidate will be responsible for executing components within the data engineering life cycle.

The candidate will contribute to ensuring the scalability, reliability, efficiency and discoverability of our cloud-based data.
Key Responsibilities
You will be responsible for the following:

  • Develop and maintain efficient data pipelines using Databricks and AWS services to support business operations and analytics needs.

  • Collaborate with business stakeholders to gather, understand, and prioritize data requirements, translating them into technical specifications.

  • Implement and optimize ETL processes to ensure data quality, integrity, and timely availability for analysis and reporting.

  • Work closely with data scientists, data analysts, and other technology teams in the cluster to support data-driven decision-making across the organization.

  • Assist in the design and implementation of data models that align with business needs and best practices.

  • Troubleshoot data-related issues and provide timely solutions, escalating complex problems when necessary.

  • Support the creation of data visualizations and reports to effectively communicate insights to stakeholders.

Requirements
  • Bachelor’s degree in Computer Science, Information Systems, Analytics, Statistics, Mathematics.

  • At least 2 years of experience in data engineering or a related role.

  • Proficient in SQL and at least one programming language (Python, Java, Scala).

  • Basic 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).

  • Experience in healthcare or pharmaceutical industry is preferred.

  • 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.

  • Fresh graduate are welcome to apply.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Hospitals and Health Care

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Required Skill Profession

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at National University Health System adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Assistant Manager, Data Engineer Artificial Intelligence Office Job Success

National University Health System interview tips for Assistant Manager, Data Engineer   Artificial Intelligence Office

Here are some tips to help you prepare for and ace your Assistant Manager, Data Engineer Artificial Intelligence Office job interview:

Before the Interview:

Research: Learn about the National University Health System's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Assistant Manager, Data Engineer Artificial Intelligence Office interview at National University Health System, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the National University Health System's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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