... in managing and resolving complex data issues and driving data management excellence within the organization. HOW ... in managing and resolving complex data issues and driving data management excellence within the organization. HOW ...
... typically has a background in data engineering or data management, as well as experience in leading and managing data teams and projects . A Data Platform Domain Lead also needs ...
... requirements and industry practices for data integrity, performance, and reliability. Integrate new data management technologies and software engineering tools ...
... requirements and industry practices for data integrity, performance, and reliability. Integrate new data management technologies and software engineering tools ...
... improve the technical capabilities for Data Quality, Data Privacy, Reference Data, Metadata (RDM) and Master Data Management (MDM) * Be an ambassador for the Enterprise Data Platform (EDP) and Data Catalogue capabilities * Be an ambassador ...
... of the Release and Cutover Management procedure for SDC and other major ERP transformation programsSAP Data ArchivingDefining and maintaining SAP data archiving policies and procedures in ...
... on project managementExperience working with data & analytics topicsExperience on budget management, project management tools, agile team coordinationExperience in ...
... and implement best practices for data management, data quality, and data governance, Ensure compliance with data privacy and security regulations) Requirements: Data Lake, SQL, Python, ETL, dbt, Data visualization, Communication skills Tools: Confluence ...
... various types of data systems, e.g. data lakehouse platforms, master data management systems, ML enriched data flows. Implement data profiling and data cleansing processes to identify and resolve data quality issues. Establish data quality standards and ...
... various types of data systems, e.g. data lakehouse platforms, master data management systems, ML enriched data flows. Implement data profiling and data cleansing processes to identify and resolve data quality issues. Establish data quality standards and ...