Job Description

  • Design, develop, and maintain scalable ETL processes and data pipelines
  • Work with structured and semi-structured data from multiple data sources
  • Develop and optimize SQL queries for data transformation and reporting
  • Implement data integration solutions using IDMC (Informatica Intelligent Data Management Cloud)
  • Build and manage data workflows using AWS services including AWS Glue
  • Perform scripting using Python and Unix shell (.ksh) for automation tasks
  • Design and maintain data models aligned with business requirements
  • Ensure data quality, consistency, and integrity across systems
  • Support data warehousing initiatives and reporting solutions
  • Collaborate with Data Analysts, Business Intelligence teams, and stakeholders

Qualifications

Minimum Qualifications:

  • Bachelor’s degree in Information Technology, Computer Science, Engineering, or related field
  • 1 and a half year to 3 years of professional experience as a Data Engineer or similar role
  • Hands-on experience with ETL processes and data pipeline development
  • Strong programming skills in Python
  • Solid experience with SQL and relational databases
  • Experience with IDMC, AWS Cloud, AWS Glue, C360, and related ETL tools
  • Proficiency in Unix shell scripting (.ksh)
  • Strong understanding of data warehousing concepts and data modeling
  • Ability to work with structured and semi-structured data formats (e.g., JSON, CSV, logs)


Job Details

Role Level: Entry-Level Work Type: Full-Time
Country: Philippines City: Taguig National Capital Region
Company Website: http://www.yondu.com Job Function: Information Technology (IT)
Company Industry/
Sector:
Information Technology and Services

What We Offer


About the Company

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