Develop, Construct, Test, and Maintain Data Pipeline, ETL and ELT workflows. Automate process including writing test automation, secure adequate documentation, enable sustainability through high quality development. Do Code reviews and be an active contributor in the team deliverables
Support Business partners and peers from the Data Engineering and Analytics team as well as member of the Digital Analytics community in the delivery of Digital Products. Support requirement collection through continuous iteration during the development phases. Constantly improve code quality through refactoring and technical debt reduction activities.
Support Pipelines continuum by being active part of the monitoring and support process. Analyze unforeseen process termination and support the business continuity by reviewing and upgrading code and process to be error free and secure lowest maintenance efforts.
