Evaluate, support and document system integrations, data flows, data models, data architecture, and understand how cross functional and cross business unit teams consume and activate content Metadata to plan out Data Integration and data sharing environments.

More Uses of the Data Integration Toolkit:

  • Coordinate: Data Integration incorporate new business and system data into the data warehouse while maintaining enterprise best practices and adhering to data governance standards.
  • Identify opportunities to enhance standards and incorporate best practices in the areas of data wrangling, data visualization, Data Integration, and Business Decision Modeling (BDM).
  • Develop, implement, and continuously improve Agile solutions and processes to solve data quality and Data Integration issues using data quality and MDM tools.
  • Evaluate: involvement in all aspects of Data Integration projects from business requirements and interface discovery and definition through design, modeling, and development, to testing and deployment.
  • Manage: review and understand data requirements for operational and analytic projects, with a special emphasis on developing scalable data solutions involving Data Integration, reporting, analytics and data warehousing.
  • Establish that your corporation complies; conducts the enterprise architectural design, business analysis, data modeling, and implementation of your organizations Data Integration platform initiative.
  • Facilitate Data Integration, data conformity and data integrity and ensure data structures are designed for flexibility to support future business needs and enhancements.
  • Secure that your design has mastered the concepts of data warehousing data architecture, master data architecture, design, configuration, operation, security, and Data Integration tools.
  • Pilot: work with planners to provide guidance on how data can be utilized to inform annual planning insights and work with the team to help inform how Data Integration evolves the planning process.
  • Develop productive relationships with Business Unit leaders across your organization to influence how Data Integration technology solutions can enable new sources of value.
  • Ensure you can distinguish between Master Data Management, Data Quality, Data Governance concepts, and Data Integration and the needs for each in a mature data environment.
  • Ensure you invent; lead testing phase of Data Integration development in order to identify and remedy potential problem areas through collaboration with analysts, data stewards, developers, and system owners.
  • Manage systems vendors and internal technical support teams to gain access to business data, defining the technical requirements for Data Integration, and ensuring successful set up and testing of integrations.
  • Apply management skills as communications and change leadership to help drive key priorities like technology changes, Data Integration, and continuous improvement.
  • Manage work with the Enterprise architecture to establish modeling standards, data quality standards, Data Integration patterns or transactional and analytical systems.
  • Develop: conduct research on emerging Data Integration products, languages, and standards in support of procurement, development, security, and integration efforts in relation to the cloud, BI, and big data management.
  • Guide: partner with manufacturing engineers to develop the Data Integrations that enable visibility into manufacturing production, equipment, processes, and product tests.
  • Coordinate with business unit analysts to understand business reporting requirements and translate needs into Data Integration, extraction, and transformation processes between operational systems and the data warehouse.
  • Warrant that your operation complies; designs multiple services based on different standards for REST, web services, Data Integration techniques, messaging, transformation engines and non standard services (APIs).
  • Participate as a key member of the Data Integration team to install, configure, and program applications and associated data marts per business requirements.
  • Provide support to the Data and Application Integration Team by developing and communicating middleware based integration architecture, strategies, guidelines, standards, and leading practices.
  • Collaborate with other engineers and implementation managers throughout the development process to release functional, performant and secure Data Integrations on a regular basis.
  • Develop and maintain Data services to other application as standard mechanism to access data, improves Data Integration by designing and evaluating new data interchange formats; improving physical design; rewriting data policy, standards, and procedures.
  • Manage work with customer staff at all levels of your organization, from executives to implementation team members, to build a Data Integration deployment roadmap.
  • Develop: work closely with business owners, product owners, and related applications to ensure requirements are interpreted correctly in detailed design specifications and in the Data Integration implementations.
  • Develop and manage Data services for provisioning data, improves Data Integration by designing and evaluating new data interchange formats; improving physical design; rewriting data policy, standards, and procedures.
  • Be accountable for improving advertising efficiency through model enhancement, Data Integration and/or new business model developments, analyzing customers lifetime value and develop data driven processes to improve customer engagements.
  • Coordinate: work under the guidance of the teams technical lead to analyze Data Integration requirements and create integration solutions that support the application development efforts.
  • Maintain high standards of data quality through the introduction and enforcement of information handling processes and organization of the Data Integration processes.
  • Secure that your venture complies; teams with other consulting and sales colleagues to develop a trusted advisor relationship with clients with the specific objective of achieving further penetration into accounts and attaining meaningful follow on sales.

 

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