01Overview
At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
EY GDS Data and Analytics (D&A;) Azure Data engineers
As part of our EY-GDS D&A; (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.
The chance
We are currently seeking a seasoned Azure Data Engineer with solid hands-on experience in Databricks and PySpark, along with exposure to contemporary AI capabilities, to join our team of professionals. The successful candidate will play a key role in building scalable data platforms and enabling next-generation data and AI solutions, leveraging strong data engineering fundamentals along with practical experience in integrating AI into data workflows.
Key Responsibilities
Actively contribute within a team of Engineers and Architects to design, prototype, and deliver scalable data and AI solutions, including proof of concepts (POCs) and production deployments.
Design and build scalable data pipelines and processing frameworks using Azure services, Databricks, and PySpark across large-scale enterprise environments.
Collaborate with business and technical stakeholders to translate requirements into robust data architectures and AI-enabled solution designs.
Develop and operationalize AI-enabled data use cases, including:
Integration of enterprise data with LLM-based applications
Implementation of Retrieval Augmented Generation (RAG) solutions
Enabling intelligent data discovery a .
