Job Description

Data Pipeline Development and Maintenance



  • Assist in building and maintaining data pipelines under the guidance of senior engineers. 

  • Support extraction, transformation, and loading (ETL/ELT) processes using SQL and Python. 

  • Monitor data flows to identify and resolve simple data quality or performance issues. 


Data Integration and Quality 



  • Support integration of data from multiple sources (CRM, WFM, Telephony, Digital) into central repositories. 

  • Conduct basic data validation, quality checks, and error logging. 

  • Helps document data sources, structures, and flows for team reference.


Automation and Tool Support  



  • Learns and applies foundational understanding of automation frameworks to enhance process efficiency and quality. 

  • Contri...

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