• Assist with building and maintaining data pipelines to ensure smooth data integration and processing. • Support the development and optimization of ETL (Extract, Transform, Load) workflows. • Help in cleaning, organizing, and validating large datasets for analysis and reporting. • Collaborate with data engineers to troubleshoot and resolve data-related issues. • Work with various data storage and processing tools such as databases, cloud platforms, and scripting languages. • Participate in team meetings to discuss data solutions and contribute ideas for process improvement. • Perform other ad-hoc data engineering tasks and projects as assigned by senior team members.