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  • Position:

    Data engineer

    Occupation:

    Information Technology(IT)

    Sub Occupation:

    Data Engineer/Big Data

Interested business type

  • Computer/ IT
  • Finance

Job Location

Bangkok (All)

Latest Salary

25,000 - 37,000 THB

Job Type

Full time

Availability

Immediate

Working Bangkok

Yes

Work Upcountry

Yes

Willing to work oversea?

Yes

Education

2022 - Kasetsart University

Faculty:Science
Major:Statistics
GPA 3.65 - Bachelor's Degree

Experience/ Internship

January 2022 toFebruary 2025  (3 Year 1 Month)
  • Last Position:
  • Data Engineer

Job Description

  • Developed and maintained data pipelines, store procedures, views, CTEs, and functions using PL/SQL developer to ensure that data was processed efficiently and on schedule. - Assisted in the development, debugging, testing, implementation of ETL/ELT processes, and supported UAT cases. - Collaborated with the accounting team to obtimize and maintain a SQL programming for the use of profit and loss report. - Migrated ETL scripts from on-premise Oracle database to a cloud environment using Amazon Redshift. - Monitored data pipelines and resolved batch processing issues to ensure schedule jobs completed successfully. - Performed data validation and reconciliation checks to ensure data quality and consistency across systems. - Cleaned and transformed raw credit data using Python (Pandas, Numpy) in Jupyter Notebook. - Performed data validation and categorization to support credit analysis and reporting.
June 2021 toJuly 2021  (1 Month)
  • Last Position:
  • Credit Risk Analytics Intern

Job Description

  • Developed and maintained data pipelines, store procedures, views, CTEs, and functions using PL/SQL developer to ensure that data was processed efficiently and on schedule. - Assisted in the development, debugging, testing, implementation of ETL/ELT processes, and supported UAT cases. - Collaborated with the accounting team to obtimize and maintain a SQL programming for the use of profit and loss report. - Migrated ETL scripts from on-premise Oracle database to a cloud environment using Amazon Redshift. - Monitored data pipelines and resolved batch processing issues to ensure schedule jobs completed successfully. - Performed data validation and reconciliation checks to ensure data quality and consistency across systems. - Cleaned and transformed raw credit data using Python (Pandas, Numpy) in Jupyter Notebook. - Performed data validation and categorization to support credit analysis and reporting.

Hard Skill

  •  - SAS / Beginner
  •  - Python / Beginner
  •  - MINITAB / Beginner
  •  - AWS (Redshift, S3) / Beginner
  •  - SQL (Oracle) / Beginner
  •  - SPSS / Beginner
  •  - R  / Beginner
  •  - MS Office / Beginner
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