Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability. Monitor data workflows, troubleshoot issues, and optimize processes to ensure seamless data operations, contributing to the overall success of data-driven initiatives within the organization.
Proficiency in Data Engineering required. Experience with Python (Programming Language), Generative AI, ETL processes, data warehousing concepts, cloud-based data solutions, data quality assurance, data governance practices.
Minimum 7.5 year(s) of experience is required. 15 years full time education required.