Job Description

-Work with subject matter experts and Data/ Business Analysts to understand business data and related processes
-Using Agile and Dev/Ops methods, build platform architecture using a variety of sources (on-premise such as SQL Server, cloud IaaS/ SaaS such as Azure).
-Integrate data from a variety of business subject areas: finance, franchise sales, POS, IoT, marketing etc.
-Implement rules & automate data cleansing, mapping, transformation, logging, and exception handling.
-Design, build, and deploy databases and data stores
-Participate in cross-functional teams to promote technology strategies, analyze and test products, perform proofs-of-concept, and pilot new technologies and/or methods.
-Establish and document standards, guidelines, and best practices for teams utilizing the solutions.
-Review vendor solution designs to ensure technology appropriateness, standards compliance, and platform capacity alignment.
-Develop Machince Learning (ML) Analytics Algorithms for Data Science / Big Data Analytics
-Implement / operationalize Analytics by developing representations and visualizations in BI.