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  • Government bumps up supply of private homes for full-year 2023 to highest in a decade. Orchard Road, Zion Road sites among 8 state land plots to be offered in H2 for private housing. Charming Garden makes third and final bid at collective sale with same S$175 million guide price. When new condo units are pricier than older ones by over 70 per cent. New private home sales up 17% in May from April, on the back of a doubling in launches.      
  • Government bumps up supply of private homes for full-year 2023 to highest in a decade. Orchard Road, Zion Road sites among 8 state land plots to be offered in H2 for private housing. Charming Garden makes third and final bid at collective sale with same S$175 million guide price. When new condo units are pricier than older ones by over 70 per cent. New private home sales up 17% in May from April, on the back of a doubling in launches.      

Data Engineer

This role is under:
Tech Team

The data engineer is someone with strong data engineering skills who is responsible for building and managing platforms that will enable the business to thrive in the technology space. He/she has deep appreciation of the complexity of the data engineering process, such as the challenges of data ingestion involving large or near-real-time datasets, the maintenance of high data quality, and the importance of automation for increasing ETL pipeline robustness and reducing the need for human intervention.

What will I be doing?

  • Maintain and improve systems architecture for data engineering services and their ecosystem, spanning distributed cloud databases and databanks (AWS, Redshift, Google)

  • Develop highly automated self-service data platforms with automated data pipelines for business users and data team to leverage on building visualisations. Ensure data-quality is of highest standard and accurate

  • Champion the introduction of next-generation technologies in the data-ingestion workflow. Explore and evaluate possibilities of expanding the scope of data that can be ingested to future-proof and achieve our roadmap.

  • Support the research and development of statistical machine learning and deep learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimising algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer-facing production environment.

What is required of me?

  • Minimum 3 years experience as a Data Engineer with hands on experience in building data pipelines and web scrapping

  • Proficient in Python, SQL, JavaScript

  • Front-end Reporting & Dashboard and Data Exploration tools – Tableau

  • Strong analytical and technical skills in building data pipelines and API

  • Degree in Computer Science, Computer Engineering or equivalent.

  • Experience in setting up AWS databases

  • Self-starter who is able to work independently in a fast-paced environment

What in it for you:

Salary Range: $3,500 to $6,000 depending on qualifications & experience
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