EY - GDS Consulting - AI and DATA - Azure AI Data Engineer - Senior at EY

Bidhannagar, kerala, India -

Full Time

Start Date

Immediate

Expiry Date

16 Oct, 26

Salary

0.0

Posted On

18 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Services, Databricks, PySpark, ETL/ELT Pipelines, Lakehouse Architecture, Azure OpenAI, LangChain, RAG Patterns, LLM Integration, Azure Synapse, Microsoft Fabric, CI/CD, Data Modelling, API Integration, Python, Cloud Performance Optimization

Industry

Professional Services

Description

At EY, you’ll 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 we’re 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 opportunity We are currently seeking a seasoned Azure Data Engineer with strong hands-on experience in Databricks and PySpark, along with exposure to modern 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 and consumption using AI tools Implement end-to-end data solutions adhering to best practices in data engineering, including performance optimization, scalability, and reliability. Work with modern AI and data ecosystems (e.g., Azure OpenAI, LangChain) to enable intelligent data workflows integrated with enterprise platforms. Contribute to CI/CD pipelines, automation, and deployment processes for both data pipelines and AI workflows. Skills & Qualifications Experience: 4–7 years of hands-on experience in data engineering 3+ years of experience with Azure data services and Databricks (PySpark) Core Data Engineering Skills: Strong experience in building ETL/ELT pipelines and lakehouse architectures on Azure Solid understanding of data modelling, data integration patterns, and metadata management Experience with enterprise data warehousing solutions (Azure Synapse, Databricks, or Microsoft Fabric) AI & Advanced Capabilities: Working knowledge of LLM-based applications, embeddings, and RAG patterns Hands-on experience with AI frameworks such as Azure OpenAI, LangChain, or similar Experience in building and scaling AI-enabled data solutions from POC to production Engineering & Integration: Experience in integrating systems using APIs, ETL tools, and modern data platforms Strong experience with CI/CD practices, version control, testing, and deployment Optimize data processing workloads for cost and performance in cloud environments Problem Solving & Collaboration: Ability to solve complex data challenges at scale Own end-to-end delivery of data pipelines and AI-enabled solutions Strong communication skills with ability to articulate technical and AI concepts clearly Experience working in global, cross-functional teams Education: Bachelor’s degree in Computer Science or related field Nice to Have: Experience with NoSQL databases and advanced data modelling techniques What working at EY offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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Responsibilities

Design and deliver scalable data and AI solutions, including the development of robust data pipelines using Azure and Databricks. Operationalize AI-enabled use cases such as RAG and LLM integrations to enhance enterprise data workflows.