MS Dynamics ERP Data Engineer
: Job Details :


MS Dynamics ERP Data Engineer

Vortex Consulting

Location: all cities,NY, USA

Date: 2024-06-28T03:19:54Z

Job Description:

Seeking a D365 ERP Data Engineer to build, test, and maintain an organization's enterprise data infrastructure to include data flows, data pipelines, data sets, and Microsoft Power BI workspaces.

This is a hybrid position requiring 3 days onsite.

Job Responsibilities:

  • Design and develop high quality, scalable data assets that support BI tools and analytics.
  • Develop new and maintain existing data pipelines and data flows.
  • Design and implement data-visualization and reporting solutions leveraging Common Data Model and Power BI.
  • Oversee various business unit s data verification processes are complete in order to ensure all the consolidated enterprise data is correct and appropriate.
  • Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, infrastructure, etc.)
  • Support continuous BI improvement, implementing best practices, adopting emerging technologies, and optimizing processes to enhance efficiency and effectiveness.

Position Qualifications:

  • Collaborate with BI Leads, IT Leads, Business Systems Analysts, and 3rd party partners
  • Experience in software development and solution architecture roles are a plus.
  • Expertise in SQL, MS Synapse, MS Power BI and complimentary leading data analytics tools.
  • Expertise in building Power BI Data Pipelines and Data Flows to support data sharing.
  • Self-starter that works effectively remotely and independently.

Required Experience:

  • Microsoft Dynamics ERP (AX, Navision, F&O) data model experience
  • Strong understanding of Financial reporting needs, and Finance experience are required.
  • 3+ years direct, hands-on work experience in data modeling and/or engineering is required.
  • 5+ years experience in data, analytics, reporting and/or business intelligence roles is required.
  • Proven ability to collaborate with business partners at all levels of the organization to understand their data engineering needs and deliver innovative solutions.
  • Prior Life Sciences or Manufacturing industry experience is preferred.

Education:

  • Bachelor s degree or comparable professional experience

Apply Now!

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