Data Scientist

A$ A' "A' ?Technical Must Haves: RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).Experience with data warehouse, data lake, and enterprise big data platforms. API's, Big Data, and AnalyticsDevelop scripts and tools for automation of system provisioning, deployment, upgrade, and scaling (Python)Create ETLs to take data from various operational systemsUse business intelligence and visualization software (eg, Tableau) to empower non-technical, internal customers to drive their own analytics and reportingDevelopment solutions on Cloud based architectureEvangelizing key strategic technologies in the areas of public API's, Big Data, and Analytics3+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).Experience with data warehouse, data lake, and enterprise big data platforms.Good Knowledge of metadata management, data modeling, and related tools required.Experience in team management, communicationAdvanced SQL skillsAWS CloudFormation and Lambda experience