Pwc
IN_SeniorAssociate_SAPDatasphere_Data&Analytics_Advisory_Hyderabad
Neural analysis suggests this role is
optimal for Senior Associate candidates.
“IN_Senior Associate_SAP Datasphere_Data & Analytics_Advisory_Hyderabad at Pwc. Skills: SAP Datasphere. designing and building data infrastructure and systems. developing and implementing data pipelines, data integration, and data transformation solutions”
What You'll Achieve.
transforming raw data into actionable insights; enabling informed decision-making; driving business growth
Industry & Context.
Analytical Thinking
No Work Visa Sponsorship
What They're Looking For.
Must Have
SAP Datasphere, 3-8 Years of experience, BE, B. Tech, MCA, M. Tech
Nice to Have
SAP Datasphere
What You'll Do.
designing and building data infrastructure and systems
developing and implementing data pipelines
and data transformation solutions
Hands-on experience in DataSphere and understanding of usage of objects like Analytical model
Task Chain and performance optimization concepts such as data tiering optimization.
Experience in integration of DataSphere with various SAP and Non-SAP backend systems/sources of data and good knowledge of different data acquisition techniques.
full life cycle Implementation experience in SAP DataSphere
Hands on Experience in data extraction using standard or Custom extraction.
experience in writing Sql.
Connectivity of SAP DataSphere with reporting tool like SAC
How You'll Work.
Communication Scope
Communication
Process & Methodology
Agile Scalability
Full Job Description
**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. _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. **Job Description & Sum
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