... , such as parallel processing, distributed data processing, or machine learning algorithms. Establishing data governance practices to maintain data integrity, quality, and consistency. Identifying and resolving ...
... efficient, meet business needs, ensuring data is sourced correctly, addressing any data inconsistency and quality issues with relevant stakeholders* Data Architecture Governance: Establish and enforce ...
... team to develop and implement data engineering solutions that deliver high-quality, contextualized datasets as an enabler ... developing or interacting with APIsbr * Data quality and validation principles: experience with ...
... and workflows to maintain master data quality and implement continuous improvement practices.· Oversee Shared Service Center Operations: Monitor and validate the quality of master data execution by the Shared Service ...
... and timely delivery of high-quality data products. * Portfolio management: manage the portfolio of data products, balancing the development of new data products with the enhancement of ...
... satisfy business needs through Data and Analytics Services.About the ... use cases.- Experience in Data Quality management: Processes to measure and manage data quality, enforce data controls, and provide data assurance.- Implementing AWS services in ...
... of the Salesforce ecosystem, the Data Cloud seamlessly integrates with our ... organizations can fully leverage their data. This strategic focus on Data Cloud is pivotal to our ... accelerated into production.br * Navigate Data Cloud Product and Engineering teams ...
... , and evaluate policyholder behaviour.brbr* Quality assurance: Conducting data quality checks and ensuring data accuracy and integrity throughout the ...
... -scale synthetic training data * Work closely with ML and data engineers to detail data requirements, supporting large-scale data sourcing, enabling data labeling, and quality control * Develop and enforce stringent data quality standards, implementing QA ...
... most of the sub-areas Data Ownership, Data Quality, Data Sharing Access, Security Privacy and Data Lifecycle Management. br * Experience working with Master Data Management (MDM) initiatives within large ...