Develop large volume information ingestion and transformation. Responsible for orchestrating data interfaces into (and out of) our Enterprise Data Warehouse using Talend, SQL, Python and other data engineering solutions. Design and develop ETL (Talend) / SQL / Python based processes to perform complex data transformation processes. Design, code, and test major data processing features, as well as work jointly with other team members to provide complex software enhancements for the enterprise data storage platforms (RDBMS and No-SQL platforms). Build Data Integration solutions to handle batch/streaming/IoT data on ETL, Big-Data platforms. Develop and deliver changes in the Enterprise Data Warehouse according to Data Warehousing best practices. Gather requirements and construct documentation to aid in maintenance and code reuse in accordance with team processes and standards. Design, code, and test major data processing features, as well as work jointly with other team members to provide complex software enhancements, for the enterprise data storage platforms. Monitor scheduled jobs and improve reliability of ongoing processing. Monitor, measure, and enhance ways to improve system performance. Ability to multi-task deliverables and manage them in an efficient manner.