Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& 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. "

& Summary:

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisationsin order tokeep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine toleveragedata, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

Experience– 5to13Years

for SAP BW4HANA:

• Excellent technicalknow-howand hands on experience in SAP BW4HANA.

• Good balance of experience in SAP BW4HANA Modelling, Dataextractionand reporting areas.

• Hands on Experience on Business WarehouseModeling Standard and custom data models & Extractors (ODP & Non ODP)

• Expertisein SAP and non-SAP extraction and functional aspects

• End to end development experience in SAP BW4HANA Modelling using ADSOs, Composite Providers, Open ODS views, Transformations, BEX Queries and Native HANA & exposing BW models as HANA views, mixed scenarios, HANA Analysis process

• Aware about LSA ++ standardmethodologyand performance optimization concepts, handling complex transformations using ABAP etc

• Experience inBExQuery Designer, Customer Exits Variables, Roles & Authorization

• Experience in ABAP (BW relevant) and SQL

• AMDP Scripts, Start/End/Exit/Expert/Field Routines) and BADIs, good in debugging ABAP Code.

• Functional knowledge of other SAP modules (PS, SD, MM, FICO, PS, PM, REFX etc.).

• Experience in mapping business requirements to the technical architecture design and data model

• Worked on SAP BW4HANA Support Projects & having knowledge of Administration: Monitoring Process Chains. Expert in trouble shooting the load failures

• Worked on SAP BW4HANA migration/upgrade Project

• Knowledge of any Reporting tool like (SAP Analytics Cloud, Business Objects etc.) will be plus

• Basic understanding of SAP Datasphere

• Experience of working on BW Migration / Upgrade Project

• BW4HANA Certification will be plus

• Hands-on experience with SAPDataSpherefor building and managing data pipelines, integrating SAP and non-SAP sources

Ways to Stand OutFromtheCrowd:-

• Strong analytical and problem-solving skills.

• Strong written and oral interpersonal skills, interaction with multinational clients.

• Analyzeand recommend improvements to current deployed system

• Ability to design and provide solutions to applications in all stages of the SDLC.

• Ability to communicate complex technical constructs to business and non-technical users.

• Advanced knowledge of distributed, heterogeneous scalable systemsdesign

• Ability to work under tight and strict timelines.

• Able to drive workshops with the business to gather requirements and translate those to SAP Enterprise solutions.

Mandatory skill sets:

‘Must have’ knowledge,skillsand experiences

• SAP BW4HANAexpertise(Modeling, Extraction, Reporting)

• DataModeling(ADSOs, Composite Providers, Open ODS, BExQueries)

• SAP & non-SAP extraction, LSA++methodology

• ABAP & SQL(AMDP, BADIs, debugging)

• SAP module knowledge(PS, SD, MM, FICO, PM, REFX)

• Troubleshooting & system architecture

• BW4HANA migration/upgrade projects

• Hands-on experience with SAPDataSphere

Preferred skill sets:

‘Good to have’ knowledge,skillsand experiences

Reporting tools (SAP Analytics Cloud, Business Objects)

BW4HANA Certification (plus)

Problem-solving & system optimization

Strong communication& client interaction

Project management & business collaboration

Years of experiencerequired

5to13years relevant experience

Education qualification:

• BE,B.Tech, ME,M,Tech, MBA, MCA (60% above)

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

Degrees/Field of Study required: Bachelor of Engineering, Master of Business AdministrationDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

SAP Business Analytics

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, 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 {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

May 14, 2026