SAP Master Data Governance Consultant

IN-Associate_ SAP MDG Consultant_D&A_Advisory_PAN India

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.

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 Location: Mumbai, Bangalore, Hyderabad, Kolkata 
Experience in at least 2 end to end SAP MDG implementation in one or more of the following objects: BP - Supplier & Customer, Material, Finance objects. 
 
1. NWBC or FIORI based solutioning in SAP MDG. 
2. Different types of CR creation for master data creation, maintenance, block, unblock via governance process. 
3. Process Modelling: Configuration of new Change Requests and set up rule-based workflow (BRF+ or BadI or both) 
4. Enhancing data model for custom attributes 
5. Enhancing UI/Forms for custom attributes 
6. Enhancing existing handler class to incorporate complex business rules 
7. Maintenance of Z tables for validation, derivation to implement DDIC 
8. Data Replication via IDOC or PIPO. 
9. Worked with  client that manufacture plumbing fixtures, building materials and housing equipment. 
10. Added additional fields for MM data model and created end to end scenario for fields available in the ERP Backend system. 
11. Enhanced BP data model with custom entities with corresponding UI enhancements. 
12. Configured UI with CBAs and component configurations in FPM and adjusted field properties with BADI. 
13. DRF configuration end to end. 
14. Configuring Data Replication via SOA, ALE and RFC. 
15. Setting up Key & Value Mapping in MDG for Material and legacy ECC systems. 
16. Unit testing, supporting SIT, UAT and Go-Live 
17. Performing Pre- Go Live cut-over activities 
18. Training user with the master data creation via NWBC & Fiori MDG process 
19. Supporting post Go-Live Defect resolution and implemented CR’s. 

 

Mandatory skill sets: 

  

SAP MDG 

Preferred skill sets: 

  

SAP MDG 

Years of experience required: 

  

2-5 

Education qualification: 

  

B.Tech/MBA/MCA 

 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Bachelor of TechnologyDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy {+ 22 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

Experience Level

Senior Level