Modern Data Platforms - Microsoft Databricks Manager Position Overview The MDP Databricks Architect / Consultant / Developer designs, builds and operates modern analytics and data platforms using the Databricks Lakehouse Platform. The role enables organisations to
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
Key Responsibilities: Create proof-of-concepts and implement best-fit data/platform solutions aligned to the business/product owner’s initiatives Promote and define enterprise-grade data engineering standards, including coding practices, testing frameworks, version control, and CI/CD processes Design, build, support complete
Role Overview A leading technology consulting organization is seeking an experienced Data Engineering Consultant with deep expertise in the Microsoft Azure ecosystem. In this role, you will be responsible for architecting, developing, and sustaining scalable data
Position Overview 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
Key Responsibilities Design and implement modern data platforms using the Databricks Lakehouse Platform. Build ingestion and transformation pipelines using Databricks Workflows, Apache Spark (PySpark / Spark SQL) and Delta Lake, supporting batch, streaming and near real-time processing. Architect focus:
Who We Are: At Kayana, were shaping the future of technology by unlocking opportunities and driving progress at an accelerated pace. We push boundaries, expand horizons, and build on our legacy—supported by some of the countrys
Enterprise Data Architect Role: Enterprise Data Architect Office: Makti/BGC Work days: Mon to Fri (DayShift -2xRTO) Overview: The Data Architect is responsible for defining and governing enterprise-wide data architecture across modern data platforms, analytics, business intelligence
Position Overview The MDP Databricks Architect / Consultant / Developer designs, builds and operates modern analytics and data platforms using the Databricks Lakehouse Platform. The role enables organisations to deliver scalable, high-performance, governed data solutions across
Position Overview 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
About The Role The Data Engineer is responsible for designing, building and integrating data from various sources to support big data management and the development of IT services and products. She/He also help to ensure that
Azure Data Engineer About the Role We are seeking a highly skilled Azure Data Engineer to join our growing data and analytics team. In this role, you will design, develop, and maintain scalable, automated data pipelines
Duties and Responsibilities Develop, test, monitor, and optimize end-to-end data processing jobs and workflows, covering data acquisition, transformation, and data exposure/publishing. Design, develop, and enhance applications, solutions, or software that consume data from the data lake/data
The MDP Databricks Architect / Consultant / Developer designs, builds and operates modern analytics and data platforms using the Databricks Lakehouse Platform. The role enables organisations to deliver scalable, high-performance, governed data solutions across analytics, business
KPMG R.G. Manabat & Co. is the Philippine member firm of KPMG International. As one of the fastest-growing practices in the country, it has significantly increased its market share in auditing the top 1,000 corporations according
The MDP Databricks Architect / Consultant / Developer designs, builds and operates modern analytics and data platforms using the Databricks Lakehouse Platform. The role enables organisations to deliver scalable, high-performance, governed data solutions across analytics, business
Key Responsibilities Design and implement modern data platforms using the Databricks Lakehouse Platform. Build ingestion and transformation pipelines using Databricks Workflows, Apache Spark (PySpark / Spark SQL) and Delta Lake, supporting batch, streaming and near real-time processing. Architect focus: