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PwC is seeking a Senior Associate Azure Data Engineer in Mumbai to design and build data infrastructure and pipelines supporting SAP BW4HANA data analytics. You will work on ADSOs, Open ODS, and transformations with ABAP/SQL expertise, and contribute to Datasphere integration and SAC connectivity.
The role requires strong SAP data engineering skills, collaboration with analytics teams, and focus on performance improvements and data governance.
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior 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.
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.
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 organisations in order to keep up with the changing nature of customers and technology.
We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Senior Associate _ Azure Data Engineer – SAP BW4HANA Data Analytics_Advisory_Mumbai
Experience – 5- 9 Years Job Description for SAP BW4HANA Excellent technical know-how and hands on experience in SAP BW4HANA, Hana View & ABAP. 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 ++ standard methodology and performance optimization concepts, handling complex transformations using ABAP etc Experience in Bex Query Designer, Customer Exits Variables, Roles & Authorization Strong SQL Experience and AMDP Scripts, Start/End/Exit/Expert/Field Routines), Function Module and BADIs, good in debugging ABAP Code. Functional knowledge of SAP modules (SD, MM, Inventory, FICO, PM etc.). Performed ABAP development for data extraction, custom logic, enhancements, and performance optimization. Lead or contribute to BW to SAP Datasphere migration/conversion initiatives, including Object assessment, Data model redesign using Datasphere best practices, Validation and reconciliation of migrated data. Optimize data models for performance, scalability, and future extensibility. Collaborate with business stakeholders, architects, and analytics teams to understand reporting and data requirements. Support integration with SAP Analytics Cloud (SAC) and other reporting/BI tools. Provide production support, troubleshooting, and performance tuning Ensure compliance with SAP standards, security, and data governance guidelines Experience in mapping business requirements to the technical architecture design and data mode. Experience/Knowledge SAP Datasphere, Reporting tool like (SAP Analytics Cloud, Business Objects etc.) will be plus.
5-9 years relevant experience
BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
Master of Engineering, Bachelor of Engineering
Certifications (if blank, certifications not specified)
Full Life Cycle Implementation, SAP Implementations
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, 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 {+ 30 more}
(If blank, desired languages not specified)
Travel Requirements Not Specified
Available for Work Visa Sponsorship? No Government Clearance Required? No
Job Posting End Date June 25, 2026
Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.