Description

What's Encouraged Daily:
 

  • Build and maintain data models and data/solution pipelines to cater to analytical applications
  • Work in a technical team through development, deployment, and application of applied, predictive and prescriptive analytics using data engineering, machine learning engineering and artificial intelligence.
  • Design and optimize data structures in data management systems (Snowflake, GCP, HANA) to enable reporting analytics using Tableau/Power BI as well as AI/Client solutions.
  • Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical Data Model


How To Qualify:
 

  • 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.
  • Self-motivated and team-oriented


¿What Sets You Apart:
 

  • Strong business domain knowledge in Product Lifecycle Management.
  • Experience with 3NF data modeling
  • Experience with transformation & development of data models in Snowflake.
  • Experience with Coalesce

Key Skills
Education

Any Graduate

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