Data Engineer
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

We are looking for Data Engineers who: 

  • Are highly motivated and are excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of product and data.
  • Are passionate about truly changing the world and making a big impact by contributing to the development of a significant product that will impact the future of HR globally
  • Truly enjoy working in a team and collaborating with others to understand, discover and recommend ways to optimize our product and improve user experience using data 
  • Are always looking to learn and improve – independent self-learners who love to share what they find
  • Have a self-driven work ethic – self-starters who love taking initiative and seeing things through to completion

What you will do:

  • Design, develop, monitor and operate data integration pipelines processing millions of records to provide high quality datasets for analytical and machine learning use-cases.
  • Build measures of data quality and automated tests of the quality of data powered features.
  • Leverage and improve cloud-based (e.g. AWS and GCP) tech stack.
  • Consult stakeholders including C-Suite and tech team to build and continuously improve “Single Source of Truth” data products that create value for clients.
  • Be a sparring partner to other team members and provide support and guidance to other engineers to help develop their technical capabilities.

You meet all or most of these requirements: 

  • Bachelor degree required with at least 2 – 3 years experience in a Data Engineer role, preferably with a degree in computer science, electrical engineering, mathematics or any other quantitative field.
  • Solid programming skills in Python.
  • Experience in performing data analysis with optimized SQL.
  • Proficient knowledge in developing data pipelines with Apache Beam for cloud-based analytics is a plus.
  • Knowledge of workflow management tools such as Apache Airflow.
  • Hands-on experience in cloud technologies (AWS, GCP preferred) and container technology tools (Docker).
  • Experience in all the steps of the engineering process, including testing, continuous integration/continuous delivery, automated deployment and monitoring.
  • Strong analytical and problem-solving skills, with the ability to comprehend and troubleshoot from a data & design point of view, and propose sustainable solutions 
  • Able to own mistakes, reflect and take feedback with maturity and a willingness to improve.
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