Job description


  • Communicate with the business as well as technical stakeholders to make sense of the data and to provide own perspective to assist the business.
  • Understand the data mapping and transformations that would be involved for end-to-end data flows from raw data to final consumable layer in the database.
  • Design and propose end-to-end data pipelines (ingestion to storage to consumption) for data projects as well as databases to support web-based applications
  • Database design and modelling. To be able to organize data at both macro and micro level and provide logical data models for the consumers
  • In addition to delivery of new projects, assist in support and enhancements of existing data pipelines and databases


  • Fluent in SQL and have in-depth hands-on knowledge with SQL with a relational database system or data warehouse
  • Deep working experience in handling and wrangling of data using analytical tools (eg. Excel)
  • Data modelling experience for analytical/reporting systems
  • Able to conceptualize the processes and steps of what is required from the business all the way to implementing the data mapping/transformation processes from source to a target data model
  • A good understanding of ETL/ELT processes and experience with supporting or development with them.
  • Some experience in working with OLAP systems and data warehouses
  • Understand the importance of performance and able to implement best practices in ensuring performance and maintainability for data-centric projects
  • This person is required to be dynamic and be a quick eager learner as knowledge about new technologies will need to be acquired on the spot
  • Have a strong interest in pursuing data engineering in the future

Nice to haves:

  • Some experience developing data solutions using native IaaS and PaaS solutions on AWS (Redshift, RDS, S3) is an advantage.
  • Experience in a programming language (eg.Python ,C#) is a an advantage
  • Experience in BI Tools (Tableau , PowerBI) is an advantage

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