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.
  • Contribute to automation of simple recurring data processes.
  • Support testing and deployment activities for data pipeline updates.

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