Pwc
Data, Analytics & AI
IN-Associate_SAPMDGConsultant_D&A_Advisory_Bangalore
Neural analysis suggests this role is
optimal for Associate candidates.
“IN-Associate_ SAP MDG Consultant_D&A_Advisory_Bangalore at Pwc. Skills: SAP MDG, Data Engineering. Design and build data infrastructure and systems to enable efficient data processing and analysis. Develop and implement data pipelines, data integration, and data transformation solutions”
Industry & Context.
What They're Looking For.
Must Have
2 end to end SAP MDG implementation in one or more of the following objects: BP - Supplier & Customer, Material, Finance objects, NWBC or FIORI based solutioning in SAP MDG, Different types of CR creation for master data creation, maintenance, block, unblock via governance process, Process Modelling: Configuration of new Change Requests and set up rule-based workflow (BRF+ or BadI or both), Enhancing data model for custom attributes, Enhancing UI/Forms for custom attributes, Enhancing existing handler class to incorporate complex business rules, Maintenance of Z tables for validation, derivation to implement DDIC, Data Replication via IDOC or PIPO, Worked with client that manufacture plumbing fixtures, building materials and housing equipment, Added additional fields for MM data model and created end to end scenario for fields available in the ERP Backend system, Enhanced BP data model with custom entities with corresponding UI enhancements, Configured UI with CBAs and component configurations in FPM and adjusted field properties with BADI, DRF configuration end to end, Configuring Data Replication via SOA, ALE and RFC, Setting up Key & Value Mapping in MDG for Material and legacy ECC systems, Unit testing, supporting SIT, UAT and Go-Live, Performing Pre- Go Live cut-over activities, Training user with the master data creation via NWBC & Fiori MDG process, Supporting post Go-Live Defect resolution and implemented CR’s, SAP MDG
Nice to Have
SAP MDG
What You'll Do.
Design and build data infrastructure and systems to enable efficient data processing and analysis
Develop and implement data pipelines
and data transformation solutions
Leverage advanced technologies and techniques to design and develop robust data solutions for clients
Transform raw data into actionable insights
enabling informed decision-making and driving business growth
End to end SAP MDG implementation in one or more of the following objects: BP - Supplier & Customer
NWBC or FIORI based solutioning in SAP MDG
CR creation for master data creation
unblock via governance process
Process Modelling: Configuration of new Change Requests and set up rule-based workflow (BRF+ or BadI or both)
Enhancing data model for custom attributes
Enhancing UI/Forms for custom attributes
Enhancing existing handler class to incorporate complex business rules
Maintenance of Z tables for validation
derivation to implement DDIC
Data Replication via IDOC or PIPO
Added additional fields for MM data model and created end to end scenario for fields available in the ERP Backend system
Enhanced BP data model with custom entities with corresponding UI enhancements
Configured UI with CBAs and component configurations in FPM and adjusted field properties with BADI
DRF configuration end to end
Configuring Data Replication via SOA
Setting up Key & Value Mapping in MDG for Material and legacy ECC systems
Performing Pre- Go Live cut-over activities
Training user with the master data creation via NWBC & Fiori MDG process
Supporting post Go-Live Defect resolution and implemented CR’s
How You'll Work.
Communication Scope
Communication
Full Job Description
**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Associate **Job Description & Summary** At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. _Why PWC_ At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more [about us](https://www.pwc.in/about-us.html). At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities: Preferred Lo
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