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Job description
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.
Engage in design, development and deployment of data integration solutions employing a three-tiered ETL methodology. Utilize Python and Py-Spark to extract data from diverse sources, execute transformative operations including filtering and joining, and dispatch processed data to designated destinations.
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.
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Corporate Services • Finance • Legal
PwC is a global professional services network that delivers audit and assurance, tax, and advisory solutions to businesses worldwide. With more than 370,000 professionals across 149 countries, the firm combines deep industry expertise with cutting-edge technology to help clients drive growth and navigate complex regulatory environments. PwC’s people-empowered, collaborative culture enables it to offer tailored, high-impact services in audit, consulting, and deals, positioning it as a trusted partner for organizations seeking sustainable competitive advantage. The network’s independent member firms work together under a unified brand, ensuring consistent quality and localized insight across every market. PwC’s commitment to innovation, integrity, and client-centricity distinguishes it as a leader in the professional services industry.