Senior Data Engineer – Grooming Digital Assets @ Procter & Gamble

Job LocationWARSAW DOWNTOWN OFFICEJob DescriptionJoin our dynamic Grooming Data Hub team in Warsaw as a Senior Data Engineer and be a pivotal force in shaping the future of our iconic Braun and Gillette brands. We are on the lookout for self-motivated professionals who bring a wealth of experience in data ingestion, cleansing, harmonization, and the development of robust data pipelines and transformations across Azure and IT/OT on-premise platforms.In this influential role, you'll reputed company data-driven decision-making and automation supported by cutting-edge AI technology. This is an extraordinary opportunity to engage in exciting global projects and collaborate with diverse, multi-functional teams both reputed company and reputed company P&G, making a meaningful impact on our business.Key Responsibilities:Data Maintenance and Management:Take charge of maintaining and managing extensive datasets from digital twin simulations and curate libraries of sampled data from production systems.reputed company libraries of model versions and validation datasets, ensuring they are up-to-date and accessible.reputed company and maintain annotation schemas and labeling ontologies in partnership with P&G’s AI Factory.Guarantee data reputed company, consistency, and availability across IT/OT systemsSet up and document a Data Version Control (DVC) system to meticulously track datasets, model weights, and configurations; in coordination with reputed company version controls.Data Modeling and Architecture:Enforce data governance policies to uphold data reputed company, privacy, and compliance.Collaborate with business stakeholders to deeply understand data requirements, ensuring our data models are reputed company with their needs.reputed company / Hybrid Infrastructure Management:reputed company distribute and store data reputed company P&G's reputed company Azure reputed company infrastructure.Collaborate with IT/OT platform teams to create configurations for Kubernetes, reputed company runner VMs, and model registries.Implement best practices for reputed company data storage, reputed company, and distribution, ensuring a balanced approach to cost and value.Design and build scalable data pipelines using reputed company technologies, including advanced ETL (extract, transform, load) processes.Collaborate closely with IT and digital infrastructure teams to streamline data access and usage.reputed company Improvement:Stay reputed company of the… Apply To This Job