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Data Engineer Lead, AI Office — ETL & Cloud Pipelines

National University Polyclinics

Singapore

On-site

SGD 60,000 - 80,000

Full time

30+ days ago

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Job summary

A healthcare institution in Singapore is looking for an Assistant Manager in Data Engineering to develop efficient data pipelines and collaborate with stakeholders on data requirements. The ideal candidate should have a Bachelor's degree in a relevant field and at least 2 years of data engineering experience. Proficiency in SQL and a programming language such as Python or Java is essential. This role supports the organization's data-driven decision-making and aims to enhance data analytics capabilities.

Qualifications

  • At least 2 years of experience in data engineering or a related role.
  • Proficient in at least one programming language (Python, Java, Scala).
  • Basic understanding of data warehousing and ETL processes.
  • Familiarity with Unix/Linux systems.

Responsibilities

  • Develop and maintain efficient data pipelines using Databricks and AWS.
  • Collaborate with business stakeholders to gather and prioritize data requirements.
  • Implement and optimize ETL processes for data quality and availability.
  • Support data-driven decision-making across the organization.

Skills

SQL
Data visualization tools
Analytical skills
Problem-solving

Education

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

Tools

Databricks
AWS
Tableau
Power BI
Git
Job description
A healthcare institution in Singapore is looking for an Assistant Manager in Data Engineering to develop efficient data pipelines and collaborate with stakeholders on data requirements. The ideal candidate should have a Bachelor's degree in a relevant field and at least 2 years of data engineering experience. Proficiency in SQL and a programming language such as Python or Java is essential. This role supports the organization's data-driven decision-making and aims to enhance data analytics capabilities.
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