Data Engineer

Location: Orchard

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  • Integrate data from various systems and platforms into the group’s data hub.
  • Defines and builds data pipelines that will enable faster, better, data-informed decision-making within the business.
  • Perform all needed data extraction, transformation and loading to populate the data hub.
  • Work closely with data analysts and business end-users to implement and support cloud data platforms using best-of-breed technology and methodology.
  • Write code/scripts to streamline and improve processes related to the flow of data and integration with other platforms.
  • Ensuring optimal accuracy and timeliness of data on a real-time basis while implementing monitoring tools to detect data issues.
  • Resolving data quality issues together with data owners.
  • Comply with information security standards and governance processes.
  • Identify new areas of improvement for data infrastructure with an eye to solve business problems.
  • Handle day-to-day data hub operations and provide advisory to business users.


  • Minimum Degree in IT or related field from recognized university.
  • Relevant working experience in data engineering – ETL, data cleansing, data pipelines, data modelling and data integration.
  • Working experience with following technologies:

o Microsoft Azure: Storage, Data Factory, Data Lakes, PaaS, Databricks, SQL Server, Synapse Analytics, Logic Apps.

o Languages: Python, Java/Scala, R, Rest APIs, T-SQL.

o Dashboards: Tableau.

  • Working experience in building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • Experience preparing data for analytics and following a data science workflow.
  • Ability to work independently to deliver end to end solution and have good problem troubleshooting skill to solve production issues in timely and accurate manner.
  • Good writing, communication and presentation skills.
  • Self-motivated and independent learner.

*** Mention DataYoshi when applying ***

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