Description
& SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others.
Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths.
You are expected to anticipate the needs of your teams and clients, and to deliver quality.
Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
The Delivery Excellence Reporting & Analytics team is looking for Senior Associate to join the program team! Our vision for the future is to deliver excellence, provide greater client value and lower the cost of delivery, through standardized solution and delivery across Advisory, by leveraging Solution Studio and PDM (PwC Delivery Methodology) that is powered by GenAI.
Skills Required
Minimum 3 years of working experience, having strong Data Engineering skills to design and build scalable and enterprise grade data pipelines utilizing Pyspark, Python, SQL, Azure and Databricks.
Having a strong technical background and implementing best practiceson Databricks platform with a strong understanding of Workflows, DLT and Unity catalog.
Havingdeepunderstanding ofData modeling techniques and Architecture, Delta Lake and Lakehouse architecture.
Experience setting up CI/CD, automated testing and version control for fast and reliable deployments.
Experience in ML techniques, RAG and GenAI based frameworks like Langchain, LangGraph etc.
Interest and enthusiasm for transforming the way that we will be delivering work as as part of the Delivery Excellence team
Travel Requirements
Not SpecifiedJob Posting End Date