Job Mandate As a Data Engineer, you will play a key role in designing, developing, and maintaining end-to-end data solutions in the Enterprise Data Platform. You will be responsible for building scalable, efficient, reliable, and reusable
Founded in 1994 and headquartered in Switzerland, ERNI is a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center
Role Summary We are looking for a Mid-Level Data Engineer to support the delivery of modern cloud-based data solutions within the Oil & Gas industry. This role focuses on building scalable data pipelines, implementing lakehouse architectures,
Industry Platforms & Systems Integration (IP&SI) is KPMG’s trusted delivery practice, bringing together platform expertise, systems integration, modern data foundations and security-by-design to help clients deliver change faster, with confidence. We connect trusted data, modernise core
Industry Platforms & Systems Integration (IP&SI) is KPMG’s trusted delivery practice, bringing together platform expertise, systems integration, modern data foundations and security-by-design to help clients deliver change faster, with confidence. We connect trusted data, modernise core
At Umpisa Inc., our mission is to make the Philippines be known globally as a tech hub. Umpisa Inc. is a progressive technology services company that partners with select industries, clients and people to work on
Position Overview The Informatica Architect / Consultant / Developer role sits within the Modern Data Platform (MDP) domain and is central to delivering enterprise-grade data transformation outcomes for our clients. This role supports the design, build
Key Responsibilities Skills, Experience and Competencies Design and deliver modern data platform solutions using Informatica across data integration, ingestion, quality, governance, lineage and master/reference data capabilities. Translate business and reporting requirements into scalable data designs, reusable