Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior AssociateAt 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 firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "Job Description & Summary: A career within PWC
Responsibilities
Job Description:
- Excellent technical know-how and hands on experience in SAP BW4HANA.
- Good balance of experience in SAP BW4HANA Modelling, Data extraction and reporting areas.
- Hands on Experience on Business Warehouse Modeling: Standard and custom data models & Extractors (ODP & Non ODP)
- Expertise in 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 ++ standard methodology and performance optimization concepts, handling complex transformations using ABAP etc
- Experience in BEx Query 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
Mandatory Skill Sets
SAP BW4HANA
Preferred Skill Sets
SAP BW4HANA
Years Of Experience Required
4-8 years
Education Qualification
BE/BTECH, ME/MTECH, MBA, MCA
Education
(if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering, Master of Business Administration
Degrees/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), 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 + 28 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
