Specialist - Data Engineering

Data Quality Automation Engineers 12 resourcesPurpose Move the organization from manual governance to automated governanceResponsibilitiesAutomated inventory updatesAutomated reportingAutomated exception analysisRule monitoring dashboardsRisk scoring implementationAPI integrationsRequired SkillsPythonSQLReporting toolsData engineeringDesired SkillsAIassisted analyticsWorkflow automationOther DetailsWork within an agile team to remediate Data Quality gapswhile designing to deliver a proactive governed endto endADS data ecosystem with automated controls clearownership realtime monitoring and scalablegovernanceWorks with technology partners and a diverse set ofstakeholders to identify and close gaps in datamanagement standards adherence negotiates pathsforward and helps identify and communicate solutions tocomplex data problems leveraging knowledge ofinformation systems techniques and processesImplement and maintain data quality frameworks andtechniques in large data warehouse environments toensure data integrityCodes complex solutions to integrate clean transformand control data builds processes supporting datatransformation data structures metadata data qualitycontrols dependency and workload managementassembles complex data sets and communicatesrequired information for deployment