Key skills
SQLAIData EngineeringData LakeAnalyticsDatabricksAirflowApache AirflowHadoopAWSAmazon Web ServicesAzurePerformance OptimizationSAPAgileCommunication
About this role
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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:
Key Attributes:
Hands-on experience in DataSphere and strong understanding of usage of objects like Analytical model, views, Data Flow, Replication Flow, 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.
Strong experience in writing Sql.
Functional Knowledge of various Modules like SD, MM, FI.
Connectivity of SAP DataSphere with reporting tool like SAC, PBI
Mandatory skill sets:
SAP Datasphere
Preferred skill sets:
SAP Datasphere
Years of experience required:
3-8 Years
Education qualification:
BE, B.Tech, MCA, M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
SAP DatasphereOptional 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 Development, 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
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
April 12, 2026