Data Engineer

Singapore, Singapore, Singapore

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  • Strong data modelling and data analysis skills are a must.
  • Familiarity with scripting for automating tasks using Python.
  • Hands-on experience of reporting or visualization tool like SAP BO and Tableau is important.
  • Good understanding and completion of projects using waterfall/Agile methodology.
  • Good understanding of analytics and data warehouse implementations.
  • Hands-on experience in DevOps deployment, ETL tools like Informatica, and data virtualisation tools like Denodo will be an added advantage. 
  • Analyse the Authority’s data needs and document the requirements.
  • Refine data collection/consumption by migrating data collection to more efficient channels.
  • Plan, design, and implement data engineering jobs and reporting solutions to meet the analytical needs.
  • Develop test plan and scripts for system testing, support user acceptance testing.
  • Work with partners to streamline processes and implement automation to improve efficiency and quality of output.
  • Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
  • Ensure the smooth operations and service level of IT solutions.
  • Support production issues

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Data analysis Data warehouse DevOps Engineering ETL Informatica Python Tableau Testing

Region: Asia/Pacific
Country: Singapore

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