Data Engineer / Senior Data Engineer


Company Description

Our client is a tech driven company and they are currently expanding their establishment in Kuala Lumpur, Malaysia.

Job Description

  • To build the best ETL frameworks and pipelines that transforms business into a data driven organisation.
  • Developing ETL processes from Production Systems to Data warehouse.
  • Design ETL Frameworks and Pipelines in an Agile development process.
  • Creatively solve business problems using advanced programming techniques in Python, Apache Airflow and distributed computing (Eg: Spark & Storm)
  • Drive data projects together with Head of Data Engineering and Data Engineering team.
  • Collaborate with stakeholders across the IT department and business to deploy and iteratively improve ETL.
  • Implement and manage a high standard of procedural documentation.
  • Ensure programming standards and documentation standards are adhered to.
  • Work closely with the AI and Machine Learning Teams to productionize advanced analytics models.
  • Partner with Data Engineering and Business Intelligence Teams to identify opportunities and discover efficiencies.


  • At least 3 years of practical experience in data science/analytics/business consulting/scientific research/computing or similar data-driven roles.
  • Experience in design and implementation of ETL frameworks (Apache Airflow)
  • Solid experience in implementation and running of operational frameworks.
  • Experience managing production environments.
  • Experience working in Dev Ops and/or Data Ops teams.
  • Experience in Machine Learning or Distributed Analytics (Spark / Storm)
  • Advanced SQL knowledge, noSQL databases will be added advantage.
  • At least 2 years people management experience as a Team Lead (Only applicable for Senior Data Engineer)

Additional Information

All communication will be handled with absolute privacy. Only shortlisted candidates will be notified.

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