Junior Data Engineer

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.

Analytics and Reporting Support

• Prepare and deliver well-structured data sets for analysts and business users.
• Ensure accuracy and completeness of data for dashboards and reports.
• Assists in creating and updating technical documentation for data pipelines, mappings, and validation steps under supervision .

Collaboration and Learning

• Collaborate with senior team members and cross-functional partners to meet project objectives.
• Participate in peer code reviews and knowledge-sharing sessions.