Data Engineer

We are looking for a Data Engineer to join our Global Product Development team. The Data Engineer will work alongside other data professionals in the Data Intelligence team to build and enhance our data infrastructure and frameworks for data mining and visualization of complex data sets. In this role, the Data Engineer will also interact with engineering, marketing, sales, and other teams, in Indonesia, Philippines and Japan, to leverage data in understanding our customer needs and inform our product strategy.

Job description and responsibilities:

  • Involved in development activities for structured and unstructured data including ingestion, parsing, integration, auditing, logging, aggregation, normalization, and error handling
  • Collect, manage, analyze & visualize complex datasets
  • Build, test and deploy data pipeline architecture
  • Support development and maintenance of a data pipeline and data warehouse
  • Support troubleshooting data pipeline and data warehouse issues


  • At least 3 years of related working experience in a Data Engineer role
  • Expertise:
    • Proficiency with data ingest and ETL tools (i.e. KNIME, Xplenty, Stitch, Alooma, Talend)
    • Proficiency with database systems including RDBMSes (PostgreSQL) and NoSQL document databases (MongoDB)
    • Proficiency with big data pipelines and data warehousing architectures
    • Familiarity with data modeling and unstructured data
    • Familiarity with data APIs
    • Familiarity with big data analytics platforms (Google BigQuery)
    • Familiarity with object oriented/object function scripting languages (Python, Go, etc) 
  • Ownership:
    • Ensures own tasks are delivered exactly as committed daily
  • Personal Development:
    • Able to learn new skills with provided guidance and instruction
  • Communication:
    • Able to express their ideas and problems to colleagues clearly in English
    • Able to explain data concepts to a non-technical audience
  • Critical Thinking:
    • Uses keen understanding of data structures to build appropriate data models for the purpose
    • Uses knowledge of data technology concepts to select an appropriate data workflow and pipelines
  • Teamwork:
    • Able to support colleagues in delivering goals both within the data team as well as in a cross functional team

Why apply to us?

  • HMO upon regularization with additional 3 dependent (fully covered by the Company)
  • 12 VL (5VL can be carried over to following year), Unlimited SL for 1 year, Additional benefit to special leave per event (Marriage, paternity, death, hospitalized family member)
  • Company-issued item (laptop to be provided upon regularization)
  • Promotion opportunities
  • Opportunity to meet and train abroad
  • Free location policy (support for working temporarily from global offices)
  • Government mandated benefits
  • Work conditions : Remote work setup

Are you interested and passionate to revolutionize education?
Apply now and be a Distributor of Wisdom.
Send your application from the button below.

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