Blog

Role name: Developer
Role Description: Build and maintain data models and data/solution pipelines to cater to
analytical applicationsWork 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/ML solutions.Determine
transformation requirements and develop processes to bring structured and unstructured data from the
source to a new physical Data Model
Competencies: Digital : Data Governance, Digital : Snowflake, EIS : Teamcenter Product (PLM)
Experience (Years): 8-10
Essential Skills: Technical Degree required. B.S or M.S in Computer Science, Business Analytics,
EngineeringUnderstanding of Data Engineering/processing, Business Intelligence and Advanced analytics
using Teamcenter dataThorough understanding of the back-end models for Teamcenter8+ 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 testingFamiliarity with software
architecture (data structures, data schemas, etc.)Software development skills and knowledge in Cloud
based data engineering.CI/CD pipelines including ADO reposExperience 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
Desirable Skills: Strong business domain knowledge in Product Lifecycle Management.Experience with
3NF data modelingExperience with transformation & development of data models in
Snowflake.Experience with Coalesce
Country: United States
Branch | City | Location: TCS – Seattle, WA