Skill
Data Transformation
Data Science, Analytics and AI/ML
Data transformation is the process of converting data from one format, structure, or value set into another, typically to make it compatible with a target system or suitable for analysis. Common transformations include normalization, aggregation, filtering, and type conversion, often performed as the 'T' in ETL (extract, transform, load) pipelines. Data engineers and analysts rely on data transformation to prepare raw data for reporting, machine learning, or integration between systems.
Open roles requiring Data Transformation (1)
Oracle Cloud Procure-to-Pay Manager
Accenture
Full-time
Accenture seeks an experienced Oracle Cloud Procurement professional to lead the design and delivery of procurement and supply chain solutions for major clients in government and financial services. This role suits someone with solid Oracle Cloud implementation experience who thrives in client-facing consulting environments and wants to develop their leadership skills within a large professional services organization.
Listed on Accenture’s careers site · Apply there ↗
Roles that use Data Transformation
Related skills
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