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Company Information | |||||||||||||||||||||
Company Name: |
Accenture | |||||||||||||||||||||
Street: |
Alexandria | |||||||||||||||||||||
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USA | |||||||||||||||||||||
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22301 | Contact Information | ||||||||||||||||||||
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Recruiter | |||||||||||||||||||||
| Job Information | ||||||||||||||||||||||
Job Location: |
US | |||||||||||||||||||||
Job Title: |
ANSS - Conversion Data Architect | |||||||||||||||||||||
Position Type: |
Full Time | |||||||||||||||||||||
Benefits: |
Qualifications Basic Qualifications: • 1 year SAP experience • 2 years system development or integration experience • 4 year college degree in Engineering or other IT related field • Preferred skills: • Conversion BW Warehousing experience • ABAP/LSMW/IDoc use / execution knowledge Professional Skill Requirements: • Proven ability to work independently and as a team member • Ability to be flexible and work analytically in a problem-solving environment • Excellent communication (written and oral) and interpersonal skills • Strong supervisory, coaching and project management skills • Strong organizational, multi-tasking, and time-management skills Please submit resumes online at https://tas-accenture.taleo.net/servlets/CareerSection?art_ip_action=FlowDispatcher&flowTypeNo=13&pageSeq=2&reqNo=213126&art_servlet_language=en&selected_language=en&csNo=10003#topOfCsPage Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Applicants for employment in the U.S. must possess work authorization which does not require sponsorship by the employer for a visa. These roles require U.S. Citizenship due to Client Clearance requirements Accenture is an Equal Opportunity Employer | |||||||||||||||||||||
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Job Description: |
Description Organization: Public Service Location: Kingstowne, VA If you join Accenture you can make great ideas happen for some of the world\\\'s most dynamic companies. With broad global resources and deep technical know-how, we collaborate with clients to cultivate ideas and deliver results. Choose a career at Accenture and enjoy an innovative environment where challenging and interesting work is part of daily life. Accenture Services workforce is a dedicated team of people who work on outsourcing engagements. These are long-term partnerships with clients for whom we manage and provide increasingly specialized business operations, such as finance and accounting, IT, applications development and maintenance, help desk services and HR. We not only maintain key business functions for clients, we constantly seek to improve them to help our clients move ahead of the competition. Most of our people in Services are based long-term at a client location, an Accenture Delivery Centre or, in some cases, an Accenture office. People within the Client Operations workgroup are responsible for day-to-day provision of long-term outsourcing services to one or several clients. Client Operations is where the majority of Services people reside and, typically, people in the workgroup are based permanently at a client location. Job Description The Conversion Data Architect will ensure that all conversion execution is completed on schedule and accurately, including verification/validation coordination with other teams and client business representatives and with consideration for compressed cutover windows to minimize production interruption. The Conversion Data Architect will have some client interaction with client resources. The Architect will also engage the appropriate technical and functional resources to assure the correctness of the implementation and to resolve any issues. Key responsibilities may include: • Work with legacy points of contact for extracting data from legacy systems • Work with functional team to ensure accuracy of master data for each Mock • Develop and/or maintain objects for loading master data and converting legacy transactional data • Create data entity forms/execution scripts for conversion objects • Log execution results at the completion of each Mock • Resolve issues causing rejects • Reprocess errors to meet targeted thresholds • Perform detailed data validation to ensure accuracy of converted data • Assist customer with functional data verification | |||||||||||||||||||||
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