Job
Description
Not Applicable Specialism SAP & 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 decisionmaking 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 purposeled and valuesdriven 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. & Summary We are looking for a seasoned Sr Cloud Data Engineer Responsibilities Have 3 to 4 years of experience of leading Data Engineer teams developing enterprise grade data processing pipelines on multi Clouds like GCP and AWS Has led at least one project of medium to high complexity of migrating ETL pipelines and Data warehouses to cloud. 3 to 5 years of latest experience should be with premium consulting companies Indepth handson expertise with Google and AWS Cloud Platform services especially BigQuery, Dataform, Dataplex , Redshift. Exceptional communication skills to converse equally well with Data Engineers, Technology and Business leadership. Ability to leverage knowledge on GCP to other cloud environments. Mandatory skill sets (AWS, Azure, GCP) services such as GCP BigQuery, Dataform AWS Redshift, Python Preferred skill sets Devops Years of experience required 10 15 Years Education qualification BE/B.Tech/MBA/MCA/M.Tech Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred Required Skills AWS Devops, Microsoft Azure, Python (Programming Language) DevOps No
