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Data Engineer

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Location: Singapore - North

Company Profile

Incorporated in 1984, main board-listed Singapore Press Holdings Ltd (SPH) is Asia’s leading media organisation, engaging minds and enriching lives across multiple languages and platforms, ranging from print, digital, radio and out-of-home media. SPH owns award-winning newspapers, magazines and best-selling books in both print and digital editions, as well as online classified businesses in the region. In addition, SPH has two English radio stations and one Chinese radio station, an out-of-home digital advertising unit, a regional events and conferences arm, and runs a chain of modern retail convenience stores. SPH REIT comprises Paragon, a premier upscale retail mall and medical suite/office property in Orchard Road and The Clementi Mall, a mid-market suburban mall. SPH's latest retail development is The Seletar Mall located in Sengkang. SPH is in the healthcare sector, operating private nursing homes under Orange Valley. For more information, please visit www.sph.com.sg

Responsibilities

The Data Engineer will be involved intensively in the long term data integration project as well as data product development. We are looking for candidates passionate on designing building and maintaining the data system and who are able to explore new technology solution to meet the needs of different data application. The ideal candidate needs to have a high level understanding about data system at the same time very much hands on.


The Job

  • Helping to understand current data sources, design database and ETL process for integration purpose.
  • Partnering with IT department to design the working flow and data integration process and making sure timely implementation.
  • Working closely with both the business users and other tech teams on data collection plans and implementation.
  • Working closely with analyst/data scientist to design data product to deliver insights to business users.
  • Explore new technology, data solutions

Requirements

  • Degree in Computer science
  • Passion about data
  • Excellent analysis and reasoning of system behavior
  • Strong team player and collaborator
  • Experience (2 - 3 years) in traditional database systems, data warehouse as well as cloud based database solutions
  • Experience with AWS, google big query preferred
  • Uphold best practice and practice around clean code, testing, software reliability
  • Comfortable with Linux
  • Experience in R, Python, Perl or other script languages
  • Experience in Web crawling, facebook graph api, and other public data api

(Only short-listed candidate will be notified)

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