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Data Engineer


  • Develop ETL processes that convert data into formats through a team of data analysts and dashboard charts.

  • Responsible for performance, speed, scalability, and extensibility of any application requiring usage of the pipeline

  • Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.



  • Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or equivalent industry experience.

  • Experience in programming languages such as Python, SQL, or Scala

  • Understand the concepts of Data Lake, Data Warehouse, and Data Mart

  • Experience in Big Data technologies and their ecosystem such as Hadoop, Spark and Airflow

  • Experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data as structured, semi-structured or unstructured data

  • Familiar with Cloud Computing Services such as AWS, Azure, or GCP 

  • Understand the process of data pipeline such as collecting, transforming, and publishing data 

  • Understand the tools and design platforms that allow processing of data from multiple heterogeneous sources with difference frequencies (batch/real-time)

  • Innovative problem-solving skills with the ability to identify and resolve complex architectural issues

  • Ability to translate and clearly formulate technical issues Project

  • Good command of English

  • An outgoing personality who has proven to be a good team player

  • Agile methodology mindset

Welfare & Benefits:

● 10 days vacation leave per year
● Flexible Working Time
● Five days working ( Monday - Friday)
● Happy Hours (Free Snacks & Drinks)
● Project Success Celebration
● Team building Activity and Company Outing
● Training and Development
● Career Opportunity
● Performance bonus and Annual salary increment
● Health insurance and Annual physical check