... and external business stakeholders and data analysts to understand the data requirements and design data architecture accordingly.Develop and maintain data architecture standards, policies, and procedures.Ensure data security and privacy by implementing ...
... plus * Hands-on experience with data quality, data lineage, data security, data privacy, data lifecycle management, data issue remediation and other data-governance practices is a plus * ...
... that change peoples lives. Good data and data-driven decision making are crucial ... .We are looking for a Data and Information Architect within our Data Strategy team, part of the Data and Analytics Center of Excellence. ...
... (, GDPR, HIPAA) to protect sensitive data within the data warehouse.Documentation: Document data pipeline workflows, data models, and technical specifications to ...
... key collaboration partner with other data and cloud-related activities. Global Data & Analytics Team|Greenfield Project At ... teams and bring business and data science closer together -consultancy experience ...
1 2 4 EUR... best practices. Collaboration: Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver effective data solutions. Work closely with the ...
... our software developers, database architects, data analysts, and data scientists on data initiatives.brbrRequirements:br * University Degree ...
... Azure stack* Expert in Microsoft data management tools such as Excel, ... * Ability to translate findings from data manipulation and analysis into clear ... * Ability to translate findings from data manipulation and analysis into clear ...
... and start of all effective data protection controls and decisions, providing vital data protection oversight and management for ... working in the field of data protection privacy. Excellent verbal and ...
... and maintenance. Expertise in SQL, data profiling, data quality, and data integration technologies. Knowledge of enterprise data management concepts such as data governance, data quality, metadata management, and data lineage with security best practices ...