Job Description


Job Overview

  • Job ID:

    J37605

  • Job Title:

    SAP Mobility Developer

  • Location:

    San Diego, CA

  • Duration:

    12 Months + Extension

  • Hourly Rate:

    Depending on Experience (DOE)

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

Job Description:

  • WINTEL based power user experience: Microsoft Office skills, especially Word, Visio, Excel, Project and PowerPoint.
  • ServiceNow, HPQC and SAP Solution Manager as ticketing tools
  • StreamServe - OpenText Communications Center Enterprise (CCE) - Exstream

REQUIRED QUALIFICATIONS TO BE SUCCESSFUL IN THIS ROLE

  • At-least two years of work experience with SAP Mobile Platform (SMP) 3.0
  • A minimum of 2 years of End-to-end project experience with one or more SAP (Syclo) Agentry based applications such as Work Manager, Inventory Manager, Service Manager, and Rounds Manager
  • A minimum 1+ years of experience with Enterprise Java Development
  • A minimum of 3 years of Hands-on experience with SAP ABAP end-to-end Development, including OData based web-service development and maintenance
  • Solid understanding of the Syclo's Mobility add-ons on the SAP Back-end including, but not limited to:
  • Syclo Configuration Panel
  • BAPI Wrappers
  • Mobile Data Objects
  • Push Scenarios
  • Functional knowledge in PM, IS-PS and IS-U modules in SAP
  • Exposure to Enterprise Asset Management (EAM) and its integration with SAP Mobility is a huge plus
  • Experience with Apache Camel Framework a huge plus
  • Good to have experience with ESRI and ArcGIS integration with Agentry framework
  • SAP EHS Health and Safety module knowledge for upcoming EHS project work
  • Should be comfortable working with Eclipse SDKs

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Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract