(662) 089 - 4000

Data Engineer


  • Lead the implementation of next-generation data engineering solutions
  • Manage AWS resources, including EC2, RDS, Redshift, S3, Glue, Athena, Kinesis, EMR, Lambda, etc., or their equivalent Microsoft Azure resources.
  • Build and deliver high-quality data architecture and pipelines to support the needs of business analysts, data scientists, and customer reporting.
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.


  • Bachelor’s degree or higher in a quantitative/technical field (e.g., Computer Science, Statistics, Engineering).
  • Experience in SQL and performance tuning.
  • 3+ years of experience as a Data Engineer or in a similar role
  • Experience with data modeling, data warehousing, and building ETL pipelines
  • 3+ years of relevant experience in one of the following areas: Data engineering, Database engineering, business intelligence or business analytics.
  • 3+ years of experience in scripting languages like Python etc.
  • Demonstrated strength in data modeling, ETL development, and Data warehousing
  • Proven success in communicating with users, other technical teams.

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2024-03-11T13:53:45+07:0026 December 2022|
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