Leads development and execution of data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs.
Demonstrate a deep knowledge of, and ability to operationalize, leading data technologies and best practices in order to identify and assess critical capabilities and recommend solutions.
Designs and modifies components of new and existing IT systems to promote integrated corporate business systems.
Requirements
B.S. or M.S. in computer Science, equivalent engineering degree, or relevant practical experience.
Min 7 years of progressively complex related experience.
High proficiency in SQL (ANSI) with the ability to write complex freehand SQL including sub-queries, nested queries, and other advanced SQL features.
Experience with reporting platforms (Microstrategy, Domo, OBIEE, Qlik View, etc. - SAP Business Objects ++)
Experience with data discovery tools (Tableau, etc.).
Experience with a RDBMS (IBM DB2, Netezza, MySQL a plus).
Proven experience with development and scripting in Java, Object-Oriented Languages, Python or any of the major languages to build robust data pipelines and dynamic systems.
Proven ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources and build innovative solutions.
Proven knowledge of AWS including services in their compute, storage, databases, management tools, and analytics portfolio. (open to GCP/Azure equivalents)
A passion for data, and an understanding of how to work with large data sets consisting of as well as willingness to learn new technologies and methodologies under minimum guidance.
