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Price Waterhouse Cooper LLP in Mumbai invites an experienced SAP Data Engineer to design and implement data pipelines, model BW4HANA structures, and enable SAP Datasphere migration. You will work with SAP modules (SD, MM, FICO) and ensure performance and governance.
Ideal candidates have 5-9 years of relevant experience, BE/BTech or MBA, and strong SQL/ABAP skills. You will collaborate with global teams and support analytics initiatives using SAC and BI tools.
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.
AtPwC, 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
AtPwC, 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 & 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 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.
Responsibilities:
Object assessment, Data model redesign using Datasphere best practices, Validation and reconciliation of migrated data.
Mandatory skill sets:
‘Must have’ knowledge, skills and experiences
Preferred skill sets:
Reporting tools (SAP Analytics Cloud, Business Objects)
SAP Datasphere & BW4HANA Certification (plus)
Problem-solving & system optimization
Strong communication & client interaction
Project management & business collaboration
Years of experience required:
5-9 years relevant experience
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: Master of Engineering, Bachelor of Engineering, MBA (Master of Business Administration)
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills Full Stack Development
Optional Skills 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}
Desired Languages (If blank, desired languages not specified)