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Senior Data Engineer

Job description

  • Highly motivated team
  • Outstanding career growth
  • Career stability

Job Description

  • Create dashboard that use the data pipeline to give actionable insights, operational effectiveness, and other key performance metrics.
  • Record, perform data quality check, track and monitor testing outcome, as well as develop testing frameworks to test ETL jobs.
  • Load data from variety of data sources using SQL and big data technologies.
  • Corporate with stakeholders as well as the technology, product, data and design teams to support with data-related technical matters and support data infrastructure demands.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Provide solutions and strategies to technical challenges.
  • Provide mentorship to junior colleagues and involve in knowledge development.


  • Degree in Computer Science, Data Science, Statistics, Information Systems or other related fields.
  • Minimum 5 years' experience as a Data Engineer.
  • Skilled in big data tools such as Kafka, Hadoop, Spark with experience building and optimizing big data pipelines, architectures and datasets.
  • Personal hands-on experience in building pipelines using PHP, API, SQL, VBA, R, Python, Scala, Java or C++ is an advantage.
  • Capable in making sound judgement calls independently when presented with difficult decisions.
  • Great project management and organizational abilities.
  • Able to converse well in English and Bahasa Malaysia.

How to Apply

To apply, please click "APPLY NOW" or email Sher Wyn at Data provided is for recruitment purposes only.

Due to the volume of applications received, we regret to inform you that only shortlisted candidates will be notified.

JTK Number: JTKSM 995 | Company Registration Number: 201301019088 (1048918-T)

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