Key Responsibilities Build and maintain ETL pipelines using Azure Databricks and PySpark. Develop and manage the Databricks Unity Catalog (data lake). Build and integrate data‑driven applications using Azure Databricks and Azure services. Work with Azure Data Lake,
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
ECLARO: A quick Summary ECLARO is an award-winning professional services firm headquartered in New York City and operating in the U.S., Canada, UK, Ireland, Australia and the Philippines. We are dedicated to a singular purpose: providing
Key Responsibilities Design, build, and maintain scalable data pipelines that extract, transform, and load data from multiple sources into centralized platforms such as data warehouses, lakehouses, and operational databases. Develop and manage end-to-end data workflows using
About GoTymeX GoTymeX is the product, technology and data analytics hub of GoTyme Group. At GoTymeX, were reimagining digital banking across emerging markets, across South Africa and Asia. Our mission is to unlock human potential, and
Job Description Summary: Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in
Roles & responsibilities Design, build, and maintain scalable data solutions on Microsoft Azure to support business data needs. Presales support to help KPMG bid for modern data platforms projects. Develop and manage data pipelines for ingesting,
About the Role Our client is seeking a Data Engineer to support the development, enhancement, and maintenance of a modern cloud-based data platform. This role will play a key part in building scalable data solutions that
Schedule: Mid Shift Employment: Full Time Summary: The Datawarehouse Developer has responsibility of development and maintenance of Reinsurance Datawarehouse Application used extensively by Reinsurance business teams. The Senior Datawarehouse Developer will work closely with the rest
About TymeX TymeX is Tyme Groups Technology & Product Development Hub with a global mission to become serial bank builders. Our Financial Crime platform plays a critical role in protecting customers and the bank from fraud,
Roles & responsibilities Participate in the design, development, and delivery of Azure data engineering solutions for large-scale data platforms Work directly with clients to gather requirements for data ingestion, integration, transformation, storage, and processing Develop and
Experience: 4 to 15 years (Consultant / Assistant Manager / Manager) Location: Makati - Hybrid Key Responsibilities: - Design, build, and maintain data infrastructure for organizations using Azure cloud services - Create data pipelines, integrate data
Roles & responsibilities •Participate in the design, development, and delivery of Azure data engineering solutions for large-scale data platforms •Work directly with clients to gather requirements for data ingestion, integration, transformation, storage, and processing •Develop and
Experience: 4 to 15 years (Consultant / Assistant Manager / Manager) Location: Makati - Hybrid Key Responsibilities: - Design, build, and maintain data infrastructure for organizations using Azure cloud services - Create data pipelines, integrate data
Roles & responsibilities •As an Advisory Lead in this team, you will play a key role in strategizing, designing, and delivering Azure data engineering and analytics solutions for clients •Ability to drive discussions with clients to
Roles & responsibilities Participate in the design, development, and delivery of Azure data engineering solutions for large-scale data platforms Work directly with clients to gather requirements for data ingestion, integration, transformation, storage, and processing Develop and
Job Purpose The Senior Data Engineer designs, builds, and maintains scalable data pipelines and architectures to support the Denials AI workflow under the guidance of the Team Lead, Data Management. This role ensures data is reliable,
Roles & responsibilities •Contribute to the development of data ingestion, transformation, and integration pipelines on Azure •Support the implementation of ETL/ELT workflows using Azure Data Factory, Synapse, Databricks, and other Azure-native services •Participate in building and
Job Description: Design, develop, and maintain ETL pipelines using Informatica, Azure Data Factory (ADF), and Databricks Perform migration of legacy ETL workflows (Informatica) to Databricks using Python/PySpark Analyze existing ETL workflows and re-engineer into optimized Spark-based transformations
Hiring: Data Engineer – Azure Databricks Location: Metro Manila, Philippines Experience: 5+ Years We are looking for a skilled Data Engineer with strong expertise in Azure Databricks, Microsoft Fabric, and Microsoft Purview. Roles & Responsibilities: Hands-on