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Data Engineer

SpringCube

Full time - Manager

Public Sector or Government

Singapore ( Onsite )

Published 3 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Data Engineer

Company Overview

This government ministry is committed to driving Singapore’s success in the digital economy by fostering the growth of infocomm and media industries. With a focus on policy formulation, public communications, and data governance, the ministry works to enhance collaboration between government entities, stakeholders, and the public. The ministry plays a critical role in shaping Singapore’s digital future.

Role Overview

As a Data Engineer within the Data Office, you will lead the development of key data infrastructure and analytics solutions to support the ministry’s policy and operational needs. You will work with various divisions to build and manage a centralized data analytics platform that enables efficient data access and governance.

Key Responsibilities

  • Integrate disparate data sources and systems into a centralized data analytics platform.
  • Collaborate with stakeholders to understand data analytics requirements for policy formulation, corporate operations, and data governance.
  • Design and implement scalable data pipelines and ETL processes tailored to the needs of the ministry.
  • Optimize data storage and retrieval mechanisms using cloud-based data warehousing solutions, ensuring compliance with government regulations.
  • Establish and enforce data governance standards to ensure data quality, integrity, and security.
  • Provide technical expertise to cross-functional teams on data engineering best practices and cloud architecture.
  • Build data connections to analytics tools like Tableau to enable seamless data visualization.

Key Requirements

  • Minimum 5 years of relevant data engineering experience, ideally within government or public sector environments.
  • Proficiency in SQL and Python for ETL processes and data pipeline implementation.
  • Strong understanding of cloud computing platforms (AWS, Azure, or Google Cloud) and data security regulations.
  • Experience with data warehousing technologies like Databricks and Snowflake.
  • Familiarity with data governance principles and government privacy regulations.
  • Experience integrating data into analytics tools like Tableau.
  • Excellent communication and collaboration skills, with strong problem-solving abilities.

Disclaimer: SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. Users must click to apply, redirecting to the employer’s career page.
  4. No Liability: SpringCube is not liable for inaccuracies.