Technical Degree required. B.S or M.S in Computer Science, Business Analytics, Engineering
Understanding of Data Engineering/processing, Business Intelligence and Advanced analytics using Teamcenter data
Thorough understanding of the back-end models for Teamcenter
8+ years of strong working knowledge of databases (Snowflake, MS-SQL, SAP HANA)
5+ years building scalable ETL pipelines with data processing and/or developing applications and data sources.
Experience with the back-end data structures, tables, relationships, E-R relationship of Teamcenter and translating them to data warehouse constructs.
Ability to define & build hierarchical relationships of Product Lifecycle Management like BOM, etc. in data warehouse like Snowflake.
Communicate effectively with stakeholders regarding all facets of data warehousing solutions pertaining to PLM Teamcenter.
Ability to architect & develop solutions pertaining to attributes, relationships for master data including slowly changing dimensions.
Ability to architect & develop data-warehousing solutions for extended Product Lifecycle Management encompassing production cycle definitions of products, equipment, facilities, etc.
Familiarity with the integration of Teamcenter & SAP as related to data warehousing solutions.
Various phases of Unit, Integration & User Acceptance testing
Familiarity with software architecture (data structures, data schemas, etc.)
Software development skills and knowledge in Cloud based data engineering.
CI/CD pipelines including ADO repos
Experience with various frameworks and processes, such as Agile (Scrum, Kanban, etc.)
Outstanding analytical thinking, interpersonal, oral, and written communication skills. Proficiency in the Microsoft Office suite
Ability to prioritize and meet critical project timelines in a fast-paced environment.