• Develop and maintain data pipelines and ETL processes using Python in AWS environments • Write and deploy AWS Lambda functions for data processing tasks • Assist in designing and implementing data integration solutions from various source systems • Collaborate with team members using Git for version control and code collaboration • Write efficient SQL queries for data extraction, transformation, and validation • Participate in code reviews to learn best practices and improve code quality • Document technical processes, data flows, and system configurations • Troubleshoot data quality issues and implement validation checks • Support the monitoring and maintenance of production data pipelines • Continuously learn new technologies and AWS services to expand technical capabilities