Your Responsibilities for this role may include, but are not limited to: 
 

Conceptualize, support, and drive the data architecture for multiple large-scale projects as well as recommend solutions to improve processes.  Integrate data from various sources and build robust, multi-functional data assets to support analytics. Responsible for data asset design, development, integration, and optimization.   Must love coding – prepare to spend more than 80% of the time on hands-on development with groundbreaking technologies.   Gatekeeper of end-to-end applications and frameworks ranging from system programming to micro-services to simple front-end applications  Build pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. Moreover, clean, unify and organize messy and complex data sets for easy access and analysis.  Collaborate with others to understand data needs, representing key data insights in a meaningful way.  Ability to own complete project or a subject area delivery while leading team members in a scrum setting.  Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.  Solve our most exciting data integration problems, applying optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.  Be the point of reference for solving a challenging technical problem 
 

Knowledge, Skills, And Abilities 
 

At least 4 years of data/software engineering experience including data analysis, design and integration/ETL.  Good knowledge of Informatica Intelligent Cloud Services (IICS)  Strong knowledge of Python  Experience with SQL