JD: -Develop architectural strategies for data modeling, design and implementation to meet stated requirements for metadata management, operational data stores and Extract Transform Load environments -Work with business leaders and teams to collect and translate information requirements into data to develop data-centric solutions -Apply industry-accepted data architecture principles and standards for modeling, stored procedures, replication, regulations, and security, among others, to meet technical and business goals. -Work to streamline data flows and models; improve consistency, quality, accessibility, and security; unify data architecture; remove unnecessary costs; and, optimize database activity across company needs. -Analyze and understand Data sources & APIs -Design and Develop methods to connect & collect data from different data sources -Design and Develop methods to filter/cleanse the data -Design and Develop SQL , Hive queries, APIs to extract data from the store -Work closely with Data Scientists to ensure the source data is aggregated and cleansed -Work with Cloud and Data architects to define robust architecture in cloud setup pipelines and workflows
