Tech S and T Cloud Dev-Data Product Engineer-NGTO-Senior-GDSF02

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. Technical Data Product Engineer Experience:37 Years If youre excited about building data systems that dont just move databut power products and decisionsthis role is for you. About The Role We are building the next generation of data platforms and data products that power intelligent decision-making, customer experiences, and AI-driven innovation at scale. As a Technical Product Data Engineer, you will operate at the intersection of data engineering, platform architecture, and product thinking. You will own the design and delivery of scalable, reliable, and high-impact data systemstransforming raw data into trusted, accessible, and actionable data products. This is a high-ownership role for engineers who want to go beyond pipelines and shape how data is produced, consumed, and leveraged across the organization. What Youll Do Build Data Products, Not Just PipelinesDesign and develop end-to-end data products that serve analytics, operational, and AI use casesDefine data SLAs, quality benchmarks, and usability standards Engineer at Scale Build and optimize high-performance data pipelines (batch & real-time)Architect cloud-native data platforms for scalability, reliability, and cost efficiency Drive Data Excellence Ensure data quality, lineage, governance, and discoverabilityImplement robust monitoring, alerting, and anomaly detection systems Partner with Stakeholders Collaborate with product, analytics, and business teams to translate requirements into data solutionsEnable self-service data access through well-modeled datasets and APIs Influence the Future Architecture Contribute to modern data architecture strategy (lakehouse, event-driven systems)Continuously improve systems for performance, reliability, and developer experience What You Bring Must-Have Skills Strong programming in Python and SQLHands-on experience with distributed data processing (Spark or equivalent)Experience building pipelines using Airflow (or similar orchestration tools)Solid understanding of data modeling, warehousing, and data lakes/lakehouse architecturesExperience with cloud platforms (AWS / Azure / GCP)Strong foundation in data quality, observability, and reliability engineering Good-to-Have Real-time streaming experience (Kafka, Kinesis, etc.)Experience with Snowflake, Databricks, or modern data platformsBuilding or consuming REST APIs for data servicesExposure to ML/AI pipelines or feature engineering workflowsFamiliarity with DevOps practices (CI/CD, Git, Jenkins, Azure DevOps)Basic frontend exposure (React/Angular) for data tooling Qualifications Bachelors or Masters in Computer Science, Data Engineering, or related field3+ years of experience in data engineering or data platform development Additional Certifications in cloud or data engineeringExperience with data governance, security, and compliance standards 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. 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. Technical Data Product Engineer Experience:37 Years If youre excited about building data systems that dont just move databut power products and decisionsthis role is for you. About The Role We are building the next generation of data platforms and data products that power intelligent decision-making, customer experiences, and AI-driven innovation at scale. As a Technical Product Data Engineer, you will operate at the intersection of data engineering, platform architecture, and product thinking. You will own the design and delivery of scalable, reliable, and high-impact data systemstransforming raw data into trusted, accessible, and actionable data products. This is a high-ownership role for engineers who want to go beyond pipelines and shape how data is produced, consumed, and leveraged across the organization. What Youll Do Build Data Products, Not Just Pipelines