Advisory
Not Applicable
Microsoft
Associate
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.
Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data\-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data.
\* 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. "
Required years of experience : 3\-5 years
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.
Understanding and experience with Azure Databricks will be preferred.
Knowledge of advanced Python programming concepts is compulsory
Python/pySpark/Azure Databricks
Python/pySpark/Azure Databricks
2\-4 Years
B.Tech/B.E.
Degrees/Field of Study required: Bachelor of Engineering
Data Engineering
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C\+\+ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Daily Scrum, Data Analytics, Data Architecture Development, Data\-Driven Insights, Data Ingestion, Data Reporting, Data Transformation {\+ 29 more}
June 19, 2026
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