• Writing high-performance, reliable, and maintainable code in Python. • Building and running data pipelines using SQL and various ETL tools. • Operating and maintaining automated systems and software in production environments. • Collaborating with teams to integrate systems, diagnose issues, and implement fixes. • Using the APIs of a diverse range of platforms to facilitate automation and data processes. • Tracking and documenting changes and updates using version control systems, like Git. • Interacting with Jira and Confluence for project management tracking, workflows, and documentation. • Continuously improving our systems for scalability, security, and performance.