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Lead the On-Prem EDC, AXON, and IDQ Migration to Cloud Data Governance & CDQ. Lead the Data Program's platform Administration for Informatica EDC, AXON, IDQ, and Informatica Cloud IDMC platforms.
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Data Migration: Work with data migration teams to ensure that data from existing systems is accurately migrated to the new ERP system without loss or corruption. Experience with data migration.
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Transition and Implementation: Guide the transition from Tableau/Alteryx to Power BI/Fabric, ensuring seamless data migration (including data governance and quality control), report conversion, and system integration.
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Experience in Database operations PL/SQL & SQL Plus background, SQL Server and ETL processes, Experience with containerization technology such as Docker and related management systems such as Kubernetes, OpenShift will be a plus Cloud Infrastructure knowledge/Cloud security knowledge/ Data engineering skills/DevOps expertise/Linux expertise/terraform, Cloud Formation, compute, ecs, ecr, eks, RDS, compute, server migration service, data migration service.
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Your actual base salary will be determined based upon a number of factors which may include relevant experience, skills, location (labor market data), credentials (education, certifications), and internal equity.
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Lead the Salesforce Development Team in the design and development of Salesforce custom solutions comprising of work in Apex, Visual Force, Salesforce APIs, Lightning, and data migration.
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Offering the broadest range of innovative, integrated solutions in the industry, Gilbarco Veeder-Root has delivered value, built extraordinary teams, and earned customer trust for more than 150 years.
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The world depends on Gilbarco Veeder-Root products to stay moving. To learn more about us visit: www.gilbarco.com. With programs for family planning from Maven Clinic to managing diabetes like Livongo, coverage for women's health, support for adult and elder care, paid parental leave, a generous 401(k) plan with matching company contributions, and more.
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Configure and maintain new and existing functionality in SAP Procurement applications and support future system integrations including migration to S4/HANA and implementation of Ariba Buying solution.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Experience in data migration and D365 Data Management module. Knowledge of emerging Microsoft technologies, Azure Cloud Platform, Power BI, PowerApps, Azure Data Lake, Azure DevOps.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Oversees system integration, data migration, data replication/archiving, or other activities engaging GDOT IT resources. Ensures delivery of all required work items and deliverables, including system security plans or orderly removal of GDOT users/data upon contract termination.
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Ensures the successful migration of enrollment data from our school enrollment platform (SchoolMint) into PowerSchool and other data systems. Reporting to the Director of School Operations, Senior Associate: Education Management Information Systems (EMIS) and PowerSchool is an integral part of the KIPP Columbus Operations Team They are responsible for ensuring the optimization of our Student Information System (PowerSchool), as well as assist the other coordinators to provide stability and continuity for our schools regarding all aspects of EMIS data reporting.
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Provide technical leadership in data architect for customers to support the successful migration to Databricks delta lake. Manage team of tech leads and data engineers to successfully implement Databricks projects.
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