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    Enterprise Data Warehouse Developer - Cirrus Group Consulting

    Cirrus Group Consulting
    Cirrus Group Consulting Enterprise, United States

    4 weeks ago

    Default job background
    Description

    The Enterprise Data Warehouse Developer is responsible for creating, designing, developing and maintaining sourcing new Enterprise Data Warehouse. Responsibilities include building knowledge of end-to-end enterprise data lifecycle, data mapping, data models, structures and dimensions within and between transaction systems through to business intelligence reporting. Also includes development of APIs, ETL processes and transaction system data administration. At all times, ensures data integrity, quality of all project deliverables and promotes cross functional, collaborative partnership and decision-making.

    Ensure services provided follow the organization's mission statement, core operating values and policies and procedures. follow HIPAA, confidentiality and security procedures and principles; collaborate with peers, leadership, and support areas of the organization; actively participate in and contribute to leadership and other staff meetings and trainings; maintains compliance with federal, state, and local employment laws and regulations; follow self-direction and person-centered planning procedures and philosophy; and to foster a culture that values diversity.

    Essential Duties:

    1. Responsible for designing, developing, transforming and maintaining enterprise data within transactional systems, data repositories, interfacing systems and within centralized Enterprise Data Warehouse(EDW) and through to Business Intelligence (BI) platform.
    2. Design, develop and document data models, data mapping and business rules to ensure end-to-end rigor from source systems through ETL implementations into EDW and BI.
    3. Code, test, monitor and maintain data integrations with transaction systems, data sources.
    4. Responsible for Data Integrity and Configuration Control within Transaction Processing, Data Transformations, Aggregates and Representations. '
    5. Implement data interfaces and automation for sourcing referential data to other transaction systems (hub-spoke), Data Marts, Business Intelligence, Quality Detections.
    6. Development of API interfaces, point-to-point integration, custom automation scripts and continuous verifications from transaction systems and data sources.
    7. Data Governance oversight responsibility design for audit, automated quality detections and controls.
    8. Roadmap Release planning of Strategic Outcomes, Leading Indicators, KPIs, Industry impact metrics
    9. Develops SCI Expertise/Applies Relevant Industry Expertise to advance business goals. Optimized end-to-end data flows and data models consistently.
    10. Focus to proactively improve and tuning data quality, accessibility, performance, and security needs.
    11. Supports Enterprise Project Management departmental goal of excellent service delivery by standardization, simplification, collaboration and optimization of processes and operations.
    12. Actively participates in and/or lead technology committees, work groups, or project teams as assigned
    Education Required:

    Bachelor's degree in information or computer science or related fields

    Experience Required:

    Minimum 7-10 years professional experience with enterprise data management, data warehousing, application interfaces and communicating business data needs and end-to-end workflows.


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