Description

You will design, build, and maintain data models and pipelines to support analytical, predictive, and prescriptive applications.

Responsibilities

• Build and maintain data models and solution pipelines for analytical applications.
• Design and optimize data structures in Snowflake, GCP, and HANA to enable reporting in Tableau and Power BI.
• Develop processes to transform structured and unstructured source data into new physical data models.
• Architect data warehousing solutions for master data, including slowly changing dimensions and extended Product Lifecycle Management.
• Define and build hierarchical relationships for PLM, such as BOM, within Snowflake.

Required Skills

• 8+ years of experience working with databases including Snowflake, MS-SQL, and SAP HANA.
• 5+ years of experience building scalable ETL pipelines and developing data sources.
• Deep understanding of Teamcenter back-end models, data structures, and E-R relationships.
• Experience translating Teamcenter data into data warehouse constructs.
• Knowledge of cloud-based data engineering and CI/CD pipelines using ADO repos.
• Experience with software architecture, including data structures and schemas.
• Ability to perform Unit, Integration, and User Acceptance testing.
• Proficiency in Agile frameworks such as Scrum and Kanban.

Preferred Skills

• Strong business domain knowledge in Product Lifecycle Management.
• Experience with 3NF data modeling and Coalesce.
• Familiarity with Teamcenter and SAP integration.

Key Skills

Education

Any Graduate